Moved thesis files into separate thesis folder; Added presentation files

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2022-12-08 12:02:12 +01:00
parent 4bd9c32480
commit 91cfdc730e
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\documentclass[aspectratio=169]{beamer}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
% \usepackage[ngerman]{babel}
%\usepackage{amsmath}
\usepackage{float}
\usepackage{tikz}
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\usepackage{subcaption}
\usepackage{listings}
\usepackage{graphicx}
\usepackage{xcolor}
\usepgfplotslibrary{colorbrewer}
\usepgfplotslibrary{external}
\tikzexternalize[prefix=build/]
\pgfplotsset{
discard if/.style 2 args={
x filter/.code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\def\pgfmathresult{inf}
\fi
}
},
discard if not/.style 2 args={
x filter/.code={
\edef\tempa{\thisrow{#1}}
\edef\tempb{#2}
\ifx\tempa\tempb
\else
\def\pgfmathresult{inf}
\fi
}
}
}
\DeclareCaptionLabelFormat{algocaption}{Algorithm} % defines a new caption label as Algorithm x.y
\lstnewenvironment{algorithm}[1][] %defines the algorithm listing environment
{
\captionsetup{labelformat=algocaption,labelsep=colon} %defines the caption setup for: it ises label format as the declared caption label above and makes label and caption text to be separated by a ':'
\lstset{ %this is the stype
mathescape=true,
frame=tB,
numbers=left,
numberstyle=\tiny,
basicstyle=\tiny\normalfont,
columns=fullflexible,
keywordstyle=\color{black}\bfseries,
keywords={a, for, end, do, b} %add the keywords you want, or load a language as Rubens explains in his comment above.
numbers=left,
xleftmargin=.04\textwidth,
#1 % this is to add specific settings to an usage of this environment (for instnce, the caption and referable label)
}
}
{}
\pgfplotsset{
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colormap={mako}{
rgb=(0.18195582, 0.11955283, 0.23136943)
rgb=(0.25307401, 0.23772973, 0.48316271)
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rgb=(0.20344718, 0.56074869, 0.65649508)
rgb=(0.25187832, 0.71827158, 0.67872193)
rgb=(0.54578602, 0.8544913, 0.69848331)
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colormap={rocket}{
rgb=(0.20973515, 0.09747934, 0.24238489)
rgb=(0.43860848, 0.12177004, 0.34119475)
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colormap/cividis,
colormap/mako,
colormap/rocket,
}
\title{BA Besprechung}
\author{Andreas Tsouchlos}
\begin{document}
\frame{\titlepage}
% ================================
% BER
% ================================
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{BER ($\omega = 0.05, K=200, \eta = 1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{semilogyaxis}[xlabel={SNR},ylabel={BER}, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}]
\foreach \gamma in {0.01, 0.05, 0.15}{
\addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv};
\legend{\gamma}
}
\legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
\end{semilogyaxis}
\end{tikzpicture}
\caption{BER of 204.33.486}
\end{subfigure}%
\begin{subfigure}{0.5\textwidth}
\centering
\includegraphics[scale=0.215]{res/paper_results}
\caption{Results from ``Prox. Dec. for LDPC Codes''}
\end{subfigure}
\end{figure}
\end{frame}
% ================================
% Average Error value
% ================================
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{Average Error Value ($\omega = 0.05, \gamma = 0.05, \eta=1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}]
\addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_8_dB_20433486alist.csv};
\end{axis}
\end{tikzpicture}
\includegraphics[scale=0.2]{res/paper_avg_error_8dB}
\caption{$\text{SNR} = 8dB$}
\end{subfigure}%
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}]
\addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_10_dB_20433486alist.csv};
\end{axis}
\end{tikzpicture}
\includegraphics[scale=0.2]{res/paper_avg_error_10dB}
\caption{$\text{SNR} = 10dB$}
\end{subfigure}
\end{figure}
\end{frame}
% ================================
% 3d Average error
% ================================
\begin{frame}[t, fragile]
\frametitle{Proximal Decoder}
\framesubtitle{Average Error Value ($\text{SNR}=8dB, \gamma = 0.05, \eta = 1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}[c]{0.5\textwidth}
\centering
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}]
\addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_8_dB_20433486alist.csv};
\end{axis}
\end{tikzpicture}
\end{subfigure}
\vspace{5mm}
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{orange}{k}$}, ylabel={$\textcolor{red}{\omega}$}, zlabel={Average $\left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, point meta min = -0.5, point meta max = 5]
\addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_8dB_20433486alist.csv};
\addplot3[mark=none, blue, line width=1] table [col sep=comma, discard if not={omega}{0.052233450742668434}] {res/2d_avg_err_8dB_20433486alist.csv};
\addlegendentry{\tiny $n=204, k=102, r=0.5$}
\end{semilogyaxis}
\end{tikzpicture}
\end{subfigure}
\end{subfigure}%
\begin{subfigure}[c]{0.5\textwidth}
\centering
\begin{algorithm}[caption={}, label={}]
$\boldsymbol{s}^{\left( 0 \right)} = \boldsymbol{0}$
for $\textcolor{orange}{k}=0$ to $K-1$ do
$\boldsymbol{r}^{\left( k+1 \right)} = \boldsymbol{s}^{(k)} - \textcolor{red}{\omega} \nabla L \left( \boldsymbol{s}^{(k)}; \boldsymbol{y} \right) $
Compute $\nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right)$
$\boldsymbol{s}^{\left( k+1 \right)} = \boldsymbol{r}^{(k+1)} - \gamma \nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right) $
$\boldsymbol{\hat{x}} = \text{sign}\left( \boldsymbol{s}^{\left( k+1 \right) } \right) $
If $\boldsymbol{\hat{x}}$ passes the parity check condition, break the loop.
end for
Output $\boldsymbol{\hat{x}}$
\end{algorithm}
\end{subfigure}
\end{figure}
\end{frame}
% ================================
% Average Gradient of H
% ================================
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{Average $\left| \nabla h \right|$ and $\left| \nabla L \right|$ ($\omega = 0.05, \gamma = 0.05, \eta = 1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, xtick={0, 25, ..., 100}]
\addplot table [x=k, y=grad_h, col sep=comma, mark=none] {res/avg_grad_8dB_20433486alist.csv};
\addlegendentry{$\left| \nabla h \right| $}
\addplot table [x=k, y=grad_l, col sep=comma, mark=none] {res/avg_grad_8dB_20433486alist.csv};
\addlegendentry{$\left| \nabla L \right| $}
\end{axis}
\end{tikzpicture}
\caption{$\text{SNR} = 8dB$}
\end{subfigure}%
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{axis}[grid=both, grid style={line width=.1pt}, xlabel={k}, xtick={0, 25, ..., 100}]
\addplot table [x=k, y=grad_h, col sep=comma, mark=none] {res/avg_grad_10dB_20433486alist.csv};
\addlegendentry{$\left| \nabla h \right| $}
\addplot table [x=k, y=grad_l, col sep=comma, mark=none] {res/avg_grad_10dB_20433486alist.csv};
\addlegendentry{$\left| \nabla L \right| $}
\end{axis}
\end{tikzpicture}
\caption{$\text{SNR} = 10dB$}
\end{subfigure}
\end{figure}
\end{frame}
% ================================
% BER vs FER vs Decoding Failure Rate
% ================================
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{BER vs FER vs Decoding Failure Rate ($\omega = 0.05, K=200, \eta = 1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{semilogyaxis}[xlabel={SNR},ylabel={BER}, ymin=8e-5, ymax=2e0, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}]
\foreach \gamma in {0.01, 0.05, 0.15}{
\addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv};
}
\legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
\end{semilogyaxis}
\end{tikzpicture}
\caption{BER of 204.33.486}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{semilogyaxis}[xlabel={SNR},ylabel={FER}, ymin=8e-5, ymax=2e0, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}]
\foreach \gamma in {0.01, 0.05, 0.15}{
\addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv};
}
\legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
\end{semilogyaxis}
\end{tikzpicture}
\caption{FER of 204.33.486}
\end{subfigure}%
\begin{subfigure}{0.32\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{semilogyaxis}[xlabel={SNR},ylabel={DFR}, ymin=8e-5, ymax=2e0, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}]
\foreach \gamma in {0.01, 0.05, 0.15}{
\addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv};
}
\legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
\end{semilogyaxis}
\end{tikzpicture}
\caption{DFR of 204.33.486}
\end{subfigure}
\end{figure}
\end{frame}
% ================================
% Average Error multiple SNRs
% ================================
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{Average Error Value ($\omega = 0.05, \gamma = 0.05, \eta = 1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{axis}[grid=both, reverse legend, grid style={line width=.1pt}, xlabel={k}, ylabel={Average $ \left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, xtick={0, 25, ..., 100}]
\addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_8_dB_20433486alist.csv};
\addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_5dB_20433486alist.csv};
\addplot table [x=k, y=err, col sep=comma, mark=none] {res/avg_err_val_3dB_20433486alist.csv};
\addlegendentry{$\text{SNR=8dB}$}
\addlegendentry{$\text{SNR=5dB}$}
\addlegendentry{$\text{SNR=3dB}$}
\end{axis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.6]
\begin{axis}[reverse legend, xlabel={$K$}, ylabel={$\omega$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={Average $\left| \boldsymbol{x} - \boldsymbol{\hat{x}} \right| $}, view={35}{60}, point meta min=-2, point meta max=8, ymode=log,]
\addplot3[surf, mesh/rows=50, mesh/cols=40, colormap/mako] table [col sep=comma] {res/2d_avg_err_8dB_20433486alist.csv};
\addlegendentry{\tiny $\text{SNR} = 8dB$}
\addplot3[surf, mesh/rows=50, mesh/cols=40, colormap/rocket] table [col sep=comma] {res/2d_avg_err_5dB_20433486alist.csv};
\addlegendentry{\tiny $\text{SNR} = 5dB$}
\addplot3[surf, mesh/rows=50, mesh/cols=40, colormap/cividis] table [col sep=comma] {res/2d_avg_err_3dB_20433486alist.csv};
\addlegendentry{\tiny $\text{SNR} = 3dB$}
\end{axis}
\end{tikzpicture}
\end{subfigure}
\end{figure}
\end{frame}
% ================================
% Average Error multiple SNRs
% ================================
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{Average $\left| \nabla h \right| $ and $\left| \nabla L \right| $, ($\omega = 0.05, \gamma = 0.05, \eta = 1.5$)}
\begin{figure}[H]
\centering
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}]
\addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_3dB_20433486alist.csv};
\addlegendentry{$\left| \nabla h \right| $}
\addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_3dB_20433486alist.csv};
\addlegendentry{$\left| \nabla L \right| $}
\end{axis}
\end{tikzpicture}
\caption{$\text{SNR}=3dB$}
\end{subfigure}%
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}]
\addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_5dB_20433486alist.csv};
\addlegendentry{$\left| \nabla h \right| $}
\addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_5dB_20433486alist.csv};
\addlegendentry{$\left| \nabla L \right| $}
\end{axis}
\end{tikzpicture}
\caption{$\text{SNR}=5dB$}
\end{subfigure}
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}]
\addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_8dB_20433486alist.csv};
\addlegendentry{$\left| \nabla h \right| $}
\addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_8dB_20433486alist.csv};
\addlegendentry{$\left| \nabla L \right| $}
\end{axis}
\end{tikzpicture}
\caption{$\text{SNR}=8dB$}
\end{subfigure}%
\begin{subfigure}{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.4]
\begin{axis}[grid=both, xlabel={k}, xtick={0, 25, ..., 100}]
\addplot table[mark=none, col sep=comma, x=k, y=grad_h] {res/avg_grad_10dB_20433486alist.csv};
\addlegendentry{$\left| \nabla h \right| $}
\addplot table[mark=none, col sep=comma, x=k, y=grad_l] {res/avg_grad_10dB_20433486alist.csv};
\addlegendentry{$\left| \nabla L \right| $}
\end{axis}
\end{tikzpicture}
\caption{$\text{SNR}=10dB$}
\end{subfigure}
\end{figure}
\end{frame}
\begin{frame}[t]
\frametitle{Proximal Decoder}
\framesubtitle{BER ($\omega = 0.05, \eta = 1.5, K = 100$)}
\begin{figure}[H]
\centering
\begin{subfigure}[c]{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.52]
\begin{semilogyaxis}[xlabel={SNR},ylabel={BER}, grid=both, grid style={line width=.1pt}, legend style={at={(0.05,0.05)},anchor=south west}]
\foreach \gamma in {0.01, 0.05, 0.15}{
\addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{\gamma}] {res/BER_FER_DFR_20433486alist.csv};
\legend{\gamma}
}
\legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
\end{semilogyaxis}
\end{tikzpicture}
\end{subfigure}%
\begin{subfigure}[c]{0.5\textwidth}
\centering
\begin{tikzpicture}[scale=0.7]
\begin{axis}[view={75}{60}, zmode=log, xlabel={SNR}, ylabel={$\gamma$}, zlabel={BER}]
\addplot3[surf, mesh/rows=17, mesh/cols=10, colormap/mako] table [col sep=comma, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, discard if not={gamma}{0.05}, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv};
\addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, discard if not={gamma}{0.01}, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv};
\addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, discard if not={gamma}{0.15}, x=SNR, y=gamma, z=BER] {res/2d_BER_FER_DFR_20433486alist.csv};
\addlegendentry{$\gamma = 0.15$}
\end{axis}
\end{tikzpicture}
\end{subfigure}
\end{figure}
\end{frame}
% \begin{frame}[t]
% \frametitle{Proximal Decoder}
% \framesubtitle{Average Error Value ($\gamma = 0.05, \eta = 1.5$)}
%
% \begin{figure}[H]
% \centering
%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.4]
% \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}]
% \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_3dB_20433486alist.csv};
% \addlegendentry{\tiny $n=204, k=102, r=0.5$}
% \end{semilogyaxis}
% \end{tikzpicture}
%
% \caption{$\text{SNR} = 3dB$}
% \end{subfigure}%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.4]
% \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}]
% \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_5dB_20433486alist.csv};
% \addlegendentry{\tiny $n=204, k=102, r=0.5$}
% \end{semilogyaxis}
% \end{tikzpicture}
%
%
% \caption{$\text{SNR} = 5dB$}
% \end{subfigure}
%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.4]
% \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}]
% \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_8dB_20433486alist.csv};
% \addlegendentry{\tiny $n=204, k=102, r=0.5$}
% \end{semilogyaxis}
% \end{tikzpicture}
%
% \caption{$\text{SNR} = 8dB$}
% \end{subfigure}%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.4]
% \begin{semilogyaxis}[view={35}{60}, xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}]
% \addplot3[surf, mesh/rows=50, mesh/cols=40] table [col sep=comma] {res/2d_avg_err_10dB_20433486alist.csv};
% \addlegendentry{\tiny $n=204, k=102, r=0.5$}
% \end{semilogyaxis}
% \end{tikzpicture}
%
%
% \caption{$\text{SNR} = 10dB$}
% \end{subfigure}
% \end{figure}
% \end{frame}
% % ================================
% % Decoding Failure Rate 3d
% % ================================
%
%
% \begin{frame}[fragile, t]
% \frametitle{Proximal Decoder}
% \framesubtitle{Decoding Failure Rate ($\text{SNR} = 3dB, \gamma = 0.05$)}
%
% \begin{figure}[H]
% \centering
%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.6]
% \begin{semilogyaxis}[xlabel={$\textcolor{blue}{K}$}, ylabel={$\textcolor{red}{\omega}$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={DFR}, view={35}{60}, point meta min=0, point meta max=1]
% \addplot3[surf, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_20433486alist_pgf.csv};
% \addlegendentry{\tiny $n=204, k=102, r=0.5$}
% \end{semilogyaxis}
% \end{tikzpicture}
%
% \caption{DFR of 204.33.486}
% \end{subfigure}%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{algorithm}[caption={}, label={}]
%$\boldsymbol{s}^{\left( 0 \right)} = \boldsymbol{0}$
%for $k=0$ to $\textcolor{blue}{K}-1$ do
% $\boldsymbol{r}^{\left( k+1 \right)} = \boldsymbol{s}^{(k)} - \textcolor{red}{\omega} \nabla L \left( \boldsymbol{s}^{(k)}; \boldsymbol{y} \right) $
% Compute $\nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right)$
% $\boldsymbol{s}^{\left( k+1 \right)} = \boldsymbol{r}^{(k+1)} - \gamma \nabla h\left( \boldsymbol{r}^{\left( k+1 \right) } \right) $
% $\boldsymbol{\hat{x}} = \text{sign}\left( \boldsymbol{s}^{\left( k+1 \right) } \right) $
% If $\boldsymbol{\hat{x}}$ passes the parity check condition, break the loop.
%end for
%Output $\boldsymbol{\hat{x}}$
%
% \end{algorithm}
%
% \caption{Proximal decoding algorithm}
% \end{subfigure}
% \end{figure}
% \end{frame}
%
% % ================================
% % Decoding Failure Rate
% % ================================
%
%% \begin{frame}[t]
%% \frametitle{Proximal Decoder}
%% \framesubtitle{Decoding Failure Rate}
%%
%% \begin{figure}[H]
%% \centering
%%
%% \begin{subfigure}{0.32\textwidth}
%% \centering
%%
%% \begin{tikzpicture}[scale=0.4]
%% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1]
%% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_7_4alist_pgf.csv};
%% \end{semilogyaxis}
%% \end{tikzpicture}
%%
%% \caption{DFR of BCH 7 4}
%% \end{subfigure}%
%% \begin{subfigure}{0.32\textwidth}
%% \centering
%%
%% \begin{tikzpicture}[scale=0.4]
%% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1]
%% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_26alist_pgf.csv};
%% \end{semilogyaxis}
%% \end{tikzpicture}
%%
%% \caption{DFR of BCH 31 26}
%% \end{subfigure}%
%% \begin{subfigure}{0.32\textwidth}
%% \centering
%%
%% \begin{tikzpicture}[scale=0.4]
%% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1]
%% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_11alist_pgf.csv};
%% \end{semilogyaxis}
%% \end{tikzpicture}
%%
%% \caption{DFR of BCH 31 11}
%% \end{subfigure}
%%
%% \begin{subfigure}{0.32\textwidth}
%% \centering
%%
%% \begin{tikzpicture}[scale=0.4]
%% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1]
%% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_963965alist_pgf.csv};
%% \end{semilogyaxis}
%% \end{tikzpicture}
%%
%% \caption{DFR of 96.3.965}
%% \end{subfigure}%
%% \begin{subfigure}{0.32\textwidth}
%% \centering
%%
%% \begin{tikzpicture}[scale=0.4]
%% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1]
%% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_20433486alist_pgf.csv};
%% \end{semilogyaxis}
%% \end{tikzpicture}
%%
%% \caption{DFR of 204.33.486}
%% \end{subfigure}%
%% \begin{subfigure}{0.32\textwidth}
%% \centering
%%
%% \begin{tikzpicture}[scale=0.4]
%% \begin{semilogyaxis}[colorbar, xlabel={$K$}, ylabel={$\omega$}, at={(0,0)}, view={0}{90}, point meta min=0, point meta max=1]
%% \addplot3[surf, shader=flat, mesh/rows=40, mesh/cols=40] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_40833844alist_pgf.csv};
%% \end{semilogyaxis}
%% \end{tikzpicture}
%%
%% \caption{DFR of 408.33.844}
%% \end{subfigure}
%% \end{figure}
%% \end{frame}
%
% \begin{frame}[t]
% \frametitle{Proximal Decoder}
% \framesubtitle{Decoding Failure Rate ($\text{SNR}=3dB, \gamma = 0.05$)}
%
%
% \begin{figure}
% \centering
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.6]
% \begin{axis}[colorbar, reverse legend, xlabel={$K$}, ylabel={$\omega$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={DFR}, view={35}{60}, point meta min=0, point meta max=1, ymode=log,
% colorbar style={
% colormap/mako,
% at={(1.1, 1)},
% ytick={-1, -0.5}
% },
% colorbar/draw/.append code={
% \begin{axis}[
% every colorbar,
% colormap/rocket,
% point meta min=0,
% point meta max=1,
% at={(1.2,1)},
% ytick={-1, -0.5},
% ]
% \pgfkeysvalueof{/pgfplots/colorbar addplot}
% \end{axis}
% \begin{axis}[
% every colorbar,
% colormap/cividis,
% point meta min=0,
% point meta max=1,
% at={(1.3,1)},
% ytick={0, 0.2, ..., 1},
% ]
% \pgfkeysvalueof{/pgfplots/colorbar addplot}
% \end{axis}
%}]
% \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/mako] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_7_4alist_pgf.csv};
% \addlegendentry{\tiny $n=7, k=4, r=0.57$}
% \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/rocket] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_26alist_pgf.csv};
% \addlegendentry{\tiny $n=31, k=26, r=0.84$}
% \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/cividis] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_bch_31_11alist_pgf.csv};
% \addlegendentry{\tiny $n=31, k=11, r=0.35$}
% \end{axis}
% \end{tikzpicture}
% \end{subfigure}%
% \begin{subfigure}{0.5\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.6]
% \begin{semilogyaxis}[reverse legend, xlabel={$K$}, ylabel={$\omega$}, xtick={20, 60, 100, 140, 180}, ytick={1e-9, 1e-6, 1e-3, 1e-0}, zlabel={DFR}, view={35}{60}, point meta min=0, point meta max=1, colorbar, colorbar style={
% colormap/mako,
% at={(1.1, 1)},
% ytick={-1, -0.5}
% },
% colorbar/draw/.append code={
% \begin{axis}[
% every colorbar,
% colormap/rocket,
% point meta min=0,
% point meta max=1,
% at={(1.2,1)},
% ytick={-1, -0.5},
% ]
% \pgfkeysvalueof{/pgfplots/colorbar addplot}
% \end{axis}
% \begin{axis}[
% every colorbar,
% colormap/cividis,
% point meta min=0,
% point meta max=1,
% at={(1.3,1)},
% ytick={0, 0.2, ..., 1},
% ]
% \pgfkeysvalueof{/pgfplots/colorbar addplot}
% \end{axis}
% }
% ]
% \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/mako] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_963965alist_pgf.csv};
% \addlegendentry{\tiny $n=96, k=48, r=0.5$}
% \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/rocket] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_20433486alist_pgf.csv};
% \addlegendentry{\tiny $n=204, k=102, r=0.5$}
% \addplot3[surf, mesh/rows=40, mesh/cols=40, colormap/cividis] table [col sep=comma] {res/2d_dec_fails_w_log_k_lin_40833844alist_pgf.csv};
% \addlegendentry{\tiny $n=408, k=204, r=0.5$}
% \end{semilogyaxis}
% \end{tikzpicture}
% \end{subfigure}
% \end{figure}
% \end{frame}
\end{document}

View File

@@ -0,0 +1,171 @@
BER,FER,DFR,gamma,SNR,num_iter
0.12837313143079013,1.0,0.5,0.0,1.0,101.0
0.11754999029314696,1.0,0.5,0.0,1.5,101.0
0.10032032615026208,1.0,0.5,0.0,2.0,101.0
0.09109881576392934,1.0,0.5,0.0,2.5,101.0
0.07891671520093185,1.0,0.5,0.0,3.0,101.0
0.06988934187536401,1.0,0.5,0.0,3.5,101.0
0.0594059405940594,1.0,0.5,0.0,4.0,101.0
0.04615608619685498,1.0,0.5,0.0,4.5,101.0
0.04062317996505533,1.0,0.5,0.0,5.0,101.0
0.02965443603183848,1.0,0.5,0.0,5.5,101.0
0.09139002135507668,1.0,0.5,0.01,1.0,101.0
0.07411182294700058,1.0,0.5,0.01,1.5,101.0
0.050378567268491554,1.0,0.5,0.01,2.0,101.0
0.04150326797385621,0.9619047619047619,0.49029126213592233,0.01,2.5,105.0
0.02795933188090051,0.9351851851851852,0.48325358851674644,0.01,3.0,108.0
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0.006153525239883187,0.5372340425531915,0.3494809688581315,0.01,4.5,188.0
0.002994814947255498,0.3069908814589666,0.23488372093023255,0.01,5.0,329.0
0.001272389155329353,0.16805324459234608,0.14387464387464388,0.01,5.5,601.0
0.08823529411764706,1.0,0.5,0.02,1.0,101.0
0.06958861976163014,0.9901960784313726,0.4975369458128079,0.02,1.5,102.0
0.042993344126641485,0.926605504587156,0.48095238095238096,0.02,2.0,109.0
0.03244433366566966,0.8559322033898306,0.4611872146118721,0.02,2.5,118.0
0.01893634165995165,0.6917808219178082,0.4089068825910931,0.02,3.0,146.0
0.011375745950554135,0.5489130434782609,0.3543859649122807,0.02,3.5,184.0
0.005283381364073006,0.2910662824207493,0.22544642857142858,0.02,4.0,347.0
0.0021259673916368418,0.15756630265210608,0.13611859838274934,0.02,4.5,641.0
0.000917798970377247,0.07245337159253945,0.06755852842809365,0.02,5.0,1394.0
0.00027878449958182325,0.023933649289099527,0.023374218930803055,0.02,5.5,4220.0
0.08789555426130849,1.0,0.5,0.03,1.0,101.0
0.06676003734827264,0.9619047619047619,0.49029126213592233,0.03,1.5,105.0
0.038994877230171344,0.9099099099099099,0.47641509433962265,0.03,2.0,111.0
0.02959744503862151,0.7651515151515151,0.4334763948497854,0.03,2.5,132.0
0.017773031000109542,0.5642458100558659,0.3607142857142857,0.03,3.0,179.0
0.008766968325791855,0.38846153846153847,0.27977839335180055,0.03,3.5,260.0
0.00386620950748241,0.18397085610200364,0.15538461538461537,0.03,4.0,549.0
0.0014516157498102751,0.09090909090909091,0.08333333333333333,0.03,4.5,1111.0
0.0005794236123452402,0.03814199395770393,0.036390101892285295,0.03,5.0,2648.0
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0.08765288293535235,1.0,0.5,0.04,1.0,101.0
0.0679144385026738,0.9181818181818182,0.4786729857819905,0.04,1.5,110.0
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0.01801596927430766,0.520618556701031,0.3423728813559322,0.04,3.0,194.0
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0.0004180340113435396,0.024821823543868273,0.02375239923224568,0.04,5.0,4069.0
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0.08842752787389466,0.9901960784313726,0.4975369458128079,0.05,1.0,102.0
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0.001542040545031572,0.06847457627118644,0.06408629441624365,0.11,4.5,1475.0
0.00046380705626459395,0.02353763691447215,0.022996357012750455,0.11,5.0,4291.0
0.00019633835922400395,0.009563488306031626,0.00928705440900563,0.11,5.5,10561.0
0.12390797903319743,1.0,0.5,0.12,1.0,101.0
0.09178338001867413,0.9619047619047619,0.49029126213592233,0.12,1.5,105.0
0.06837606837606838,0.8632478632478633,0.463302752293578,0.12,2.0,117.0
0.05465493283927744,0.7952755905511811,0.44298245614035087,0.12,2.5,127.0
0.030477408354646206,0.5489130434782609,0.352112676056338,0.12,3.0,184.0
0.017707734559621893,0.3289902280130293,0.2419753086419753,0.12,3.5,307.0
0.011557940711829756,0.23933649289099526,0.18846153846153846,0.12,4.0,422.0
0.005245039890214686,0.11981020166073547,0.10509554140127389,0.12,4.5,843.0
0.002685399345710654,0.0536663124335813,0.049974760222110046,0.12,5.0,1882.0
0.0013640832377519252,0.028133704735376044,0.02710027100271003,0.12,5.5,3590.0
0.17768394486507474,1.0,0.5,0.13,1.0,101.0
0.14287074052922139,0.9805825242718447,0.4950980392156863,0.13,1.5,103.0
0.13408304498269896,0.9901960784313726,0.4975369458128079,0.13,2.0,102.0
0.12371615312791784,0.9619047619047619,0.49029126213592233,0.13,2.5,105.0
0.091796875,0.7890625,0.4410480349344978,0.13,3.0,128.0
0.09031959240389069,0.7952755905511811,0.44298245614035087,0.13,3.5,127.0
0.07613954672778202,0.6558441558441559,0.396078431372549,0.13,4.0,154.0
0.05870512456190206,0.48792270531400966,0.3257328990228013,0.13,4.5,207.0
0.04384313725490196,0.404,0.28774928774928776,0.13,5.0,250.0
0.03557146542827657,0.33223684210526316,0.2456575682382134,0.13,5.5,304.0
0.25029120559114737,1.0,0.5,0.14,1.0,101.0
0.23277033585711512,1.0,0.5,0.14,1.5,101.0
0.22842176086120722,0.9901960784313726,0.4975369458128079,0.14,2.0,102.0
0.2063676955930887,1.0,0.5,0.14,2.5,101.0
0.19406267179769104,0.9439252336448598,0.4855769230769231,0.14,3.0,107.0
0.20017825311942958,0.9181818181818182,0.4786729857819905,0.14,3.5,110.0
0.17822128851540617,0.9017857142857143,0.47417840375586856,0.14,4.0,112.0
0.187937675070028,0.9017857142857143,0.47417840375586856,0.14,4.5,112.0
0.1665835825855766,0.8559322033898306,0.4611872146118721,0.14,5.0,118.0
0.15361934247383163,0.7593984962406015,0.43162393162393164,0.14,5.5,133.0
0.3144049699087556,1.0,0.5,0.15,1.0,101.0
0.3150359153562415,1.0,0.5,0.15,1.5,101.0
0.30120364977674235,1.0,0.5,0.15,2.0,101.0
0.29571927781013396,1.0,0.5,0.15,2.5,101.0
0.28738946559015766,0.9901960784313726,0.4975369458128079,0.15,3.0,102.0
0.27423233444321127,0.9528301886792453,0.48792270531400966,0.15,3.5,106.0
0.27875816993464053,0.9619047619047619,0.49029126213592233,0.15,4.0,105.0
0.26902320561252024,0.926605504587156,0.48095238095238096,0.15,4.5,109.0
0.25459829949678986,0.8938053097345132,0.4719626168224299,0.15,5.0,113.0
0.24473935915829748,0.8211382113821138,0.45089285714285715,0.15,5.5,123.0
0.38264414676761793,1.0,0.5,0.16,1.0,101.0
0.3670646476412347,1.0,0.5,0.16,1.5,101.0
0.3651232770335857,1.0,0.5,0.16,2.0,101.0
0.368423607066589,1.0,0.5,0.16,2.5,101.0
0.3588623568239177,1.0,0.5,0.16,3.0,101.0
0.3551999231064975,0.9901960784313726,0.4975369458128079,0.16,3.5,102.0
0.3476657329598506,0.9619047619047619,0.49029126213592233,0.16,4.0,105.0
0.349133828288597,0.9805825242718447,0.4950980392156863,0.16,4.5,103.0
0.3520456259426848,0.9711538461538461,0.4926829268292683,0.16,5.0,104.0
0.3416111727709952,0.9528301886792453,0.48792270531400966,0.16,5.5,106.0
1 BER FER DFR gamma SNR num_iter
2 0.12837313143079013 1.0 0.5 0.0 1.0 101.0
3 0.11754999029314696 1.0 0.5 0.0 1.5 101.0
4 0.10032032615026208 1.0 0.5 0.0 2.0 101.0
5 0.09109881576392934 1.0 0.5 0.0 2.5 101.0
6 0.07891671520093185 1.0 0.5 0.0 3.0 101.0
7 0.06988934187536401 1.0 0.5 0.0 3.5 101.0
8 0.0594059405940594 1.0 0.5 0.0 4.0 101.0
9 0.04615608619685498 1.0 0.5 0.0 4.5 101.0
10 0.04062317996505533 1.0 0.5 0.0 5.0 101.0
11 0.02965443603183848 1.0 0.5 0.0 5.5 101.0
12 0.09139002135507668 1.0 0.5 0.01 1.0 101.0
13 0.07411182294700058 1.0 0.5 0.01 1.5 101.0
14 0.050378567268491554 1.0 0.5 0.01 2.0 101.0
15 0.04150326797385621 0.9619047619047619 0.49029126213592233 0.01 2.5 105.0
16 0.02795933188090051 0.9351851851851852 0.48325358851674644 0.01 3.0 108.0
17 0.016575274177467597 0.8559322033898306 0.4611872146118721 0.01 3.5 118.0
18 0.012200435729847494 0.7481481481481481 0.4279661016949153 0.01 4.0 135.0
19 0.006153525239883187 0.5372340425531915 0.3494809688581315 0.01 4.5 188.0
20 0.002994814947255498 0.3069908814589666 0.23488372093023255 0.01 5.0 329.0
21 0.001272389155329353 0.16805324459234608 0.14387464387464388 0.01 5.5 601.0
22 0.08823529411764706 1.0 0.5 0.02 1.0 101.0
23 0.06958861976163014 0.9901960784313726 0.4975369458128079 0.02 1.5 102.0
24 0.042993344126641485 0.926605504587156 0.48095238095238096 0.02 2.0 109.0
25 0.03244433366566966 0.8559322033898306 0.4611872146118721 0.02 2.5 118.0
26 0.01893634165995165 0.6917808219178082 0.4089068825910931 0.02 3.0 146.0
27 0.011375745950554135 0.5489130434782609 0.3543859649122807 0.02 3.5 184.0
28 0.005283381364073006 0.2910662824207493 0.22544642857142858 0.02 4.0 347.0
29 0.0021259673916368418 0.15756630265210608 0.13611859838274934 0.02 4.5 641.0
30 0.000917798970377247 0.07245337159253945 0.06755852842809365 0.02 5.0 1394.0
31 0.00027878449958182325 0.023933649289099527 0.023374218930803055 0.02 5.5 4220.0
32 0.08789555426130849 1.0 0.5 0.03 1.0 101.0
33 0.06676003734827264 0.9619047619047619 0.49029126213592233 0.03 1.5 105.0
34 0.038994877230171344 0.9099099099099099 0.47641509433962265 0.03 2.0 111.0
35 0.02959744503862151 0.7651515151515151 0.4334763948497854 0.03 2.5 132.0
36 0.017773031000109542 0.5642458100558659 0.3607142857142857 0.03 3.0 179.0
37 0.008766968325791855 0.38846153846153847 0.27977839335180055 0.03 3.5 260.0
38 0.00386620950748241 0.18397085610200364 0.15538461538461537 0.03 4.0 549.0
39 0.0014516157498102751 0.09090909090909091 0.08333333333333333 0.03 4.5 1111.0
40 0.0005794236123452402 0.03814199395770393 0.036390101892285295 0.03 5.0 2648.0
41 0.00016343372683550264 0.010827615780445969 0.010606703436571913 0.03 5.5 9328.0
42 0.08765288293535235 1.0 0.5 0.04 1.0 101.0
43 0.0679144385026738 0.9181818181818182 0.4786729857819905 0.04 1.5 110.0
44 0.03954802259887006 0.8559322033898306 0.4611872146118721 0.04 2.0 118.0
45 0.027733912356889063 0.6778523489932886 0.404 0.04 2.5 149.0
46 0.01801596927430766 0.520618556701031 0.3423728813559322 0.04 3.0 194.0
47 0.008052073288331726 0.33114754098360655 0.24876847290640394 0.04 3.5 305.0
48 0.0033502037178507766 0.16396103896103897 0.14086471408647142 0.04 4.0 616.0
49 0.0013015913003316959 0.07209136331192005 0.06724367509986684 0.04 4.5 1401.0
50 0.0004180340113435396 0.024821823543868273 0.02375239923224568 0.04 5.0 4069.0
51 0.00013344871259291676 0.008539059857964153 0.008300494675945335 0.04 5.5 11828.0
52 0.08842752787389466 0.9901960784313726 0.4975369458128079 0.05 1.0 102.0
53 0.06893382352941177 0.9017857142857143 0.47417840375586856 0.05 1.5 112.0
54 0.03901960784313725 0.808 0.4469026548672566 0.05 2.0 125.0
55 0.03017873816193144 0.6870748299319728 0.40725806451612906 0.05 2.5 147.0
56 0.01726552690041534 0.4975369458128079 0.33223684210526316 0.05 3.0 203.0
57 0.0078719723183391 0.29705882352941176 0.2290249433106576 0.05 3.5 340.0
58 0.0028333584073015395 0.12915601023017903 0.1143827859569649 0.05 4.0 782.0
59 0.0011034350412588755 0.05814622913068509 0.05443658138268917 0.05 4.5 1737.0
60 0.0003931769976579403 0.02189464556687622 0.02101018675721562 0.05 5.0 4613.0
61 0.00011282770403681407 0.006918755993971777 0.006736068585425597 0.05 5.5 14598.0
62 0.08931938159879337 0.9711538461538461 0.4926829268292683 0.06 1.0 104.0
63 0.0696078431372549 0.9181818181818182 0.4786729857819905 0.06 1.5 110.0
64 0.0451574569221628 0.7651515151515151 0.4334763948497854 0.06 2.0 132.0
65 0.030596131069877616 0.6778523489932886 0.404 0.06 2.5 149.0
66 0.017121341290139244 0.48792270531400966 0.32792207792207795 0.06 3.0 207.0
67 0.007671430153982497 0.2853107344632768 0.2185430463576159 0.06 3.5 354.0
68 0.0027091460771564804 0.13133940182054615 0.11507479861910241 0.06 4.0 769.0
69 0.0010963401754144281 0.05913348946135832 0.05530973451327434 0.06 4.5 1708.0
70 0.0003919432696826007 0.022004357298474945 0.02111324376199616 0.06 5.0 4590.0
71 0.0001127109627190779 0.006635133359611089 0.006461719208928921 0.06 5.5 15222.0
72 0.08955505279034691 0.9711538461538461 0.4926829268292683 0.07 1.0 104.0
73 0.06880097171612008 0.8938053097345132 0.4719626168224299 0.07 1.5 113.0
74 0.04627153891859774 0.7651515151515151 0.4334763948497854 0.07 2.0 132.0
75 0.030882352941176472 0.6733333333333333 0.40239043824701193 0.07 2.5 150.0
76 0.016490467154603776 0.46543778801843316 0.31761006289308175 0.07 3.0 217.0
77 0.007769403025834289 0.28133704735376047 0.21615720524017468 0.07 3.5 359.0
78 0.002764584094507368 0.12546583850931678 0.11049723756906077 0.07 4.0 805.0
79 0.0011381631037212985 0.05997624703087886 0.05605381165919283 0.07 4.5 1684.0
80 0.00041184729267455155 0.02238971403236533 0.02168726957276079 0.07 5.0 4511.0
81 0.00011420099374899824 0.006880108991825613 0.006698694092969754 0.07 5.5 14680.0
82 0.10157428355957768 0.9711538461538461 0.4926829268292683 0.08 1.0 104.0
83 0.06953044375644994 0.8859649122807017 0.4697674418604651 0.08 1.5 114.0
84 0.046771340114993364 0.7593984962406015 0.43162393162393164 0.08 2.0 133.0
85 0.03145695364238411 0.6688741721854304 0.4007936507936508 0.08 2.5 151.0
86 0.017012687427912343 0.45701357466063347 0.3136645962732919 0.08 3.0 221.0
87 0.00786468433527257 0.2774725274725275 0.21382289416846653 0.08 3.5 364.0
88 0.002889444065914654 0.12998712998713 0.11402508551881414 0.08 4.0 777.0
89 0.0011831275720164609 0.06234567901234568 0.05813953488372093 0.08 4.5 1620.0
90 0.00041382298775863936 0.022320441988950276 0.021833117163856462 0.08 5.0 4525.0
91 0.00012208862952444092 0.007026575761792124 0.00684032336074069 0.08 5.5 14374.0
92 0.10222729868646488 0.9805825242718447 0.4950980392156863 0.09 1.0 103.0
93 0.0698314413484692 0.8859649122807017 0.4697674418604651 0.09 1.5 114.0
94 0.048945335710041595 0.7651515151515151 0.4334763948497854 0.09 2.0 132.0
95 0.029857397504456328 0.6558441558441559 0.396078431372549 0.09 2.5 154.0
96 0.016724336793540944 0.45701357466063347 0.3136645962732919 0.09 3.0 221.0
97 0.007633401619354209 0.2512437810945274 0.199203187250996 0.09 3.5 402.0
98 0.002939889866707838 0.1325459317585302 0.11600928074245939 0.09 4.0 762.0
99 0.0012179347694688232 0.06226880394574599 0.05807200929152149 0.09 4.5 1622.0
100 0.0004314793067862354 0.022912885662431944 0.022182786157941437 0.09 5.0 4408.0
101 0.0001238353984000878 0.007067879636109167 0.006880255750920842 0.09 5.5 14290.0
102 0.10375023795926137 0.9805825242718447 0.4950980392156863 0.1 1.0 103.0
103 0.0698314413484692 0.8859649122807017 0.4697674418604651 0.1 1.5 114.0
104 0.05056561085972851 0.7769230769230769 0.43722943722943725 0.1 2.0 130.0
105 0.032691007437457745 0.696551724137931 0.4105691056910569 0.1 2.5 145.0
106 0.018604108309990663 0.48095238095238096 0.3247588424437299 0.1 3.0 210.0
107 0.007563025210084034 0.24047619047619048 0.19230769230769232 0.1 3.5 420.0
108 0.003502415458937198 0.1463768115942029 0.12658227848101267 0.1 4.0 690.0
109 0.00127134724857685 0.06516129032258064 0.06060606060606061 0.1 4.5 1550.0
110 0.00042711454555012355 0.02256478999106345 0.022066856019226568 0.1 5.0 4476.0
111 0.00013208552212757297 0.007435765294853861 0.007235784242069873 0.1 5.5 13583.0
112 0.1056063201979821 0.9805825242718447 0.4950980392156863 0.11 1.0 103.0
113 0.07202791026320438 0.9099099099099099 0.47641509433962265 0.11 1.5 111.0
114 0.052667578659370724 0.7829457364341085 0.4391304347826087 0.11 2.0 129.0
115 0.03451940216646099 0.7062937062937062 0.4139344262295082 0.11 2.5 143.0
116 0.018376652986776106 0.4697674418604651 0.31962025316455694 0.11 3.0 215.0
117 0.009242238562091503 0.2630208333333333 0.20824742268041238 0.11 3.5 384.0
118 0.00428058547362607 0.15805946791862285 0.13531799729364005 0.11 4.0 639.0
119 0.001542040545031572 0.06847457627118644 0.06408629441624365 0.11 4.5 1475.0
120 0.00046380705626459395 0.02353763691447215 0.022996357012750455 0.11 5.0 4291.0
121 0.00019633835922400395 0.009563488306031626 0.00928705440900563 0.11 5.5 10561.0
122 0.12390797903319743 1.0 0.5 0.12 1.0 101.0
123 0.09178338001867413 0.9619047619047619 0.49029126213592233 0.12 1.5 105.0
124 0.06837606837606838 0.8632478632478633 0.463302752293578 0.12 2.0 117.0
125 0.05465493283927744 0.7952755905511811 0.44298245614035087 0.12 2.5 127.0
126 0.030477408354646206 0.5489130434782609 0.352112676056338 0.12 3.0 184.0
127 0.017707734559621893 0.3289902280130293 0.2419753086419753 0.12 3.5 307.0
128 0.011557940711829756 0.23933649289099526 0.18846153846153846 0.12 4.0 422.0
129 0.005245039890214686 0.11981020166073547 0.10509554140127389 0.12 4.5 843.0
130 0.002685399345710654 0.0536663124335813 0.049974760222110046 0.12 5.0 1882.0
131 0.0013640832377519252 0.028133704735376044 0.02710027100271003 0.12 5.5 3590.0
132 0.17768394486507474 1.0 0.5 0.13 1.0 101.0
133 0.14287074052922139 0.9805825242718447 0.4950980392156863 0.13 1.5 103.0
134 0.13408304498269896 0.9901960784313726 0.4975369458128079 0.13 2.0 102.0
135 0.12371615312791784 0.9619047619047619 0.49029126213592233 0.13 2.5 105.0
136 0.091796875 0.7890625 0.4410480349344978 0.13 3.0 128.0
137 0.09031959240389069 0.7952755905511811 0.44298245614035087 0.13 3.5 127.0
138 0.07613954672778202 0.6558441558441559 0.396078431372549 0.13 4.0 154.0
139 0.05870512456190206 0.48792270531400966 0.3257328990228013 0.13 4.5 207.0
140 0.04384313725490196 0.404 0.28774928774928776 0.13 5.0 250.0
141 0.03557146542827657 0.33223684210526316 0.2456575682382134 0.13 5.5 304.0
142 0.25029120559114737 1.0 0.5 0.14 1.0 101.0
143 0.23277033585711512 1.0 0.5 0.14 1.5 101.0
144 0.22842176086120722 0.9901960784313726 0.4975369458128079 0.14 2.0 102.0
145 0.2063676955930887 1.0 0.5 0.14 2.5 101.0
146 0.19406267179769104 0.9439252336448598 0.4855769230769231 0.14 3.0 107.0
147 0.20017825311942958 0.9181818181818182 0.4786729857819905 0.14 3.5 110.0
148 0.17822128851540617 0.9017857142857143 0.47417840375586856 0.14 4.0 112.0
149 0.187937675070028 0.9017857142857143 0.47417840375586856 0.14 4.5 112.0
150 0.1665835825855766 0.8559322033898306 0.4611872146118721 0.14 5.0 118.0
151 0.15361934247383163 0.7593984962406015 0.43162393162393164 0.14 5.5 133.0
152 0.3144049699087556 1.0 0.5 0.15 1.0 101.0
153 0.3150359153562415 1.0 0.5 0.15 1.5 101.0
154 0.30120364977674235 1.0 0.5 0.15 2.0 101.0
155 0.29571927781013396 1.0 0.5 0.15 2.5 101.0
156 0.28738946559015766 0.9901960784313726 0.4975369458128079 0.15 3.0 102.0
157 0.27423233444321127 0.9528301886792453 0.48792270531400966 0.15 3.5 106.0
158 0.27875816993464053 0.9619047619047619 0.49029126213592233 0.15 4.0 105.0
159 0.26902320561252024 0.926605504587156 0.48095238095238096 0.15 4.5 109.0
160 0.25459829949678986 0.8938053097345132 0.4719626168224299 0.15 5.0 113.0
161 0.24473935915829748 0.8211382113821138 0.45089285714285715 0.15 5.5 123.0
162 0.38264414676761793 1.0 0.5 0.16 1.0 101.0
163 0.3670646476412347 1.0 0.5 0.16 1.5 101.0
164 0.3651232770335857 1.0 0.5 0.16 2.0 101.0
165 0.368423607066589 1.0 0.5 0.16 2.5 101.0
166 0.3588623568239177 1.0 0.5 0.16 3.0 101.0
167 0.3551999231064975 0.9901960784313726 0.4975369458128079 0.16 3.5 102.0
168 0.3476657329598506 0.9619047619047619 0.49029126213592233 0.16 4.0 105.0
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170 0.3520456259426848 0.9711538461538461 0.4926829268292683 0.16 5.0 104.0
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3.2570206556597964e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.999,0.982,0.891,0.842,0.778,0.741,0.666,0.655,0.597,0.612,0.571,0.551,0.529,0.526,0.539,0.504,0.525,0.506,0.512,0.477
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1e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.989,0.936,0.868,0.79,0.736,0.696,0.663,0.63,0.595,0.595,0.556,0.525,0.538,0.525,0.524,0.485,0.498,0.519
1 20 25 30 34 39 43 48 53 57 62 66 71 76 80 85 90 94 99 103 108 113 117 122 126 131 136 140 145 149 154 159 163 168 172 177 182 186 191 195 200
2 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
3 0.5541020330009492 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 0.999 1.0 0.999 0.999 0.999 0.999 1.0 0.999 0.999 0.999 0.999 0.999 1.0 0.999 0.999
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7.896522868499733e-05,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.95,0.98,0.9,0.86,0.92,0.87,0.83,0.81,0.74,0.77,0.83,0.76,0.72,0.7,0.68,0.73,0.68,0.71,0.62,0.65,0.7,0.7,0.68,0.61,0.66,0.72,0.58,0.67,0.61,0.64,0.66,0.65
4.375479375074189e-05,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.96,0.95,0.93,0.89,0.81,0.81,0.8,0.82,0.81,0.71,0.68,0.78,0.64,0.63,0.72,0.72,0.66,0.7,0.55,0.72,0.67,0.67,0.68,0.63,0.67,0.66,0.65,0.6,0.65,0.65,0.71
2.424462017082331e-05,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,0.99,0.93,0.94,0.92,0.93,0.89,0.89,0.82,0.7,0.8,0.61,0.79,0.72,0.71,0.7,0.72,0.73,0.73,0.73,0.81,0.7,0.71,0.69,0.63,0.64,0.6,0.64,0.6,0.61,0.64,0.62
1.3433993325989015e-05,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,0.98,0.93,0.96,0.9,0.9,0.84,0.82,0.72,0.78,0.77,0.83,0.67,0.71,0.72,0.74,0.73,0.67,0.7,0.65,0.55,0.71,0.55,0.63,0.64,0.67,0.68,0.69,0.65,0.7,0.64
7.443803013251696e-06,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.95,0.95,0.91,0.84,0.85,0.82,0.8,0.76,0.73,0.76,0.75,0.65,0.7,0.74,0.7,0.73,0.7,0.65,0.65,0.54,0.64,0.63,0.55,0.8,0.63,0.64,0.64,0.65
4.124626382901356e-06,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.97,0.95,0.93,0.91,0.82,0.87,0.83,0.78,0.75,0.77,0.76,0.72,0.76,0.65,0.69,0.65,0.67,0.65,0.66,0.72,0.64,0.7,0.65,0.62,0.62,0.63,0.67,0.8
2.285463864134993e-06,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.96,0.97,0.9,0.89,0.79,0.83,0.81,0.77,0.78,0.72,0.79,0.77,0.69,0.78,0.73,0.65,0.65,0.74,0.67,0.65,0.71,0.64,0.63,0.68,0.62,0.62,0.64
1.2663801734674047e-06,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.96,0.93,0.87,0.9,0.9,0.81,0.79,0.79,0.75,0.74,0.76,0.7,0.7,0.82,0.73,0.71,0.63,0.65,0.67,0.68,0.74,0.63,0.64,0.65,0.63,0.67
7.017038286703837e-07,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,1.0,0.94,0.94,0.92,0.85,0.88,0.82,0.83,0.86,0.81,0.75,0.72,0.71,0.76,0.79,0.68,0.67,0.66,0.65,0.63,0.71,0.65,0.67,0.71,0.6,0.65,0.67
3.8881551803080935e-07,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.96,0.95,0.88,0.86,0.83,0.82,0.91,0.84,0.81,0.73,0.72,0.7,0.7,0.75,0.68,0.68,0.71,0.7,0.72,0.63,0.67,0.63,0.65,0.65,0.61
2.1544346900318867e-07,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.96,0.95,0.92,0.95,0.9,0.85,0.84,0.8,0.74,0.76,0.75,0.84,0.7,0.69,0.68,0.65,0.67,0.71,0.67,0.65,0.72,0.72,0.62,0.67,0.72
1.193776641714438e-07,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.97,0.97,0.94,0.92,0.86,0.82,0.83,0.81,0.76,0.82,0.73,0.71,0.8,0.63,0.68,0.75,0.63,0.61,0.72,0.59,0.67,0.59,0.62,0.66
6.614740641230159e-08,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,0.97,0.97,0.95,0.88,0.89,0.89,0.88,0.89,0.79,0.7,0.74,0.75,0.76,0.69,0.69,0.72,0.65,0.62,0.7,0.67,0.68,0.72,0.59,0.64
3.665241237079634e-08,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.96,0.94,0.93,0.87,0.86,0.82,0.73,0.84,0.77,0.73,0.68,0.66,0.69,0.73,0.65,0.69,0.72,0.65,0.6,0.62,0.72,0.74
2.030917620904739e-08,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,0.98,0.96,0.96,0.93,0.93,0.82,0.8,0.79,0.77,0.76,0.82,0.77,0.66,0.7,0.67,0.68,0.71,0.7,0.6,0.66,0.59,0.65
1.125335582600767e-08,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.96,0.99,0.96,0.89,0.87,0.82,0.88,0.72,0.83,0.7,0.79,0.68,0.73,0.65,0.7,0.65,0.62,0.72,0.66,0.68,0.66
6.235507341273925e-09,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.97,0.92,0.94,0.94,0.82,0.8,0.87,0.81,0.77,0.81,0.74,0.77,0.77,0.68,0.67,0.75,0.66,0.65,0.69,0.66
3.4551072945922323e-09,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,0.94,0.95,0.91,0.83,0.83,0.77,0.8,0.77,0.82,0.74,0.73,0.64,0.74,0.76,0.67,0.67,0.7,0.66,0.72
1.9144819761699614e-09,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.93,0.89,0.93,0.86,0.84,0.83,0.74,0.8,0.76,0.78,0.74,0.75,0.68,0.65,0.73,0.6,0.68
1.0608183551394483e-09,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.97,0.96,0.91,0.91,0.84,0.88,0.87,0.82,0.67,0.75,0.81,0.65,0.75,0.69,0.67,0.74,0.82,0.66
5.878016072274924e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.99,0.94,0.94,0.92,0.86,0.91,0.85,0.79,0.8,0.73,0.75,0.79,0.7,0.73,0.77,0.71,0.68,0.58
3.2570206556597964e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.99,0.95,0.94,0.89,0.86,0.85,0.79,0.8,0.83,0.8,0.75,0.78,0.74,0.66,0.73,0.67,0.66
1.8047217668271738e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.93,0.97,0.9,0.87,0.92,0.89,0.87,0.81,0.78,0.82,0.76,0.81,0.73,0.69,0.67,0.61
1e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.98,0.97,0.97,0.93,0.9,0.88,0.82,0.86,0.84,0.82,0.71,0.66,0.78,0.73,0.73,0.74
1 20 25 30 34 39 43 48 53 57 62 66 71 76 80 85 90 94 99 103 108 113 117 122 126 131 136 140 145 149 154 159 163 168 172 177 182 186 191 195 200
2 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
3 0.5541020330009492 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
4 0.30702906297578497 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
5 0.17012542798525893 0.99 0.97 0.98 0.97 0.98 0.95 0.98 0.98 0.95 0.94 0.92 0.92 0.94 0.94 0.97 0.93 0.92 0.92 0.97 0.89 0.97 0.97 0.89 0.92 0.95 0.91 0.9 0.9 0.88 0.88 0.94 0.95 0.89 0.94 0.97 0.91 0.94 0.94 0.92 0.88
6 0.09426684551178854 1.0 0.96 0.96 0.96 0.94 0.91 0.84 0.96 0.84 0.85 0.76 0.82 0.79 0.78 0.75 0.79 0.84 0.76 0.75 0.76 0.74 0.79 0.75 0.74 0.72 0.74 0.73 0.72 0.73 0.71 0.71 0.71 0.74 0.72 0.7 0.72 0.69 0.71 0.72 0.7
7 0.052233450742668434 1.0 0.96 0.94 0.92 0.94 0.9 0.87 0.83 0.8 0.79 0.76 0.78 0.73 0.76 0.72 0.71 0.73 0.68 0.69 0.62 0.65 0.64 0.61 0.61 0.65 0.65 0.62 0.7 0.59 0.64 0.57 0.57 0.57 0.58 0.56 0.6 0.55 0.68 0.6 0.57
8 0.028942661247167517 1.0 0.98 0.95 0.96 0.95 0.87 0.81 0.8 0.85 0.83 0.75 0.75 0.72 0.75 0.73 0.72 0.65 0.6 0.57 0.54 0.62 0.64 0.54 0.54 0.61 0.63 0.62 0.62 0.56 0.51 0.6 0.6 0.45 0.57 0.57 0.57 0.54 0.6 0.44 0.56
9 0.016037187437513308 1.0 0.99 0.99 0.99 0.94 0.96 0.86 0.82 0.88 0.84 0.76 0.75 0.69 0.72 0.7 0.67 0.62 0.69 0.6 0.61 0.65 0.59 0.59 0.57 0.52 0.58 0.54 0.56 0.58 0.51 0.51 0.61 0.56 0.56 0.61 0.57 0.52 0.56 0.56 0.57
10 0.008886238162743407 1.0 0.99 0.98 0.95 0.93 0.92 0.9 0.86 0.86 0.86 0.76 0.8 0.72 0.7 0.65 0.63 0.73 0.63 0.66 0.7 0.65 0.6 0.63 0.62 0.68 0.52 0.62 0.66 0.62 0.63 0.59 0.59 0.64 0.57 0.63 0.64 0.63 0.61 0.61 0.58
11 0.004923882631706742 1.0 1.0 1.0 0.95 0.95 0.93 0.9 0.91 0.84 0.84 0.83 0.8 0.81 0.74 0.68 0.74 0.73 0.73 0.67 0.68 0.64 0.59 0.65 0.67 0.69 0.65 0.53 0.69 0.62 0.72 0.61 0.69 0.69 0.61 0.54 0.69 0.62 0.6 0.63 0.69
12 0.0027283333764867696 1.0 1.0 1.0 1.0 0.96 0.97 0.92 0.9 0.81 0.77 0.77 0.83 0.8 0.77 0.73 0.72 0.72 0.72 0.66 0.67 0.66 0.68 0.74 0.62 0.64 0.62 0.64 0.53 0.53 0.7 0.62 0.66 0.62 0.73 0.53 0.65 0.65 0.68 0.62 0.64
13 0.001511775070615663 1.0 1.0 1.0 1.0 0.99 0.95 0.92 0.89 0.87 0.87 0.87 0.84 0.81 0.8 0.76 0.73 0.74 0.58 0.72 0.6 0.6 0.59 0.54 0.63 0.62 0.66 0.7 0.67 0.67 0.67 0.65 0.72 0.64 0.63 0.59 0.59 0.59 0.59 0.63 0.63
14 0.0008376776400682924 1.0 1.0 1.0 1.0 1.0 0.97 0.96 0.95 0.9 0.89 0.82 0.87 0.8 0.73 0.8 0.77 0.68 0.71 0.62 0.72 0.73 0.72 0.6 0.72 0.67 0.65 0.66 0.7 0.62 0.69 0.67 0.61 0.57 0.53 0.58 0.61 0.65 0.69 0.59 0.65
15 0.0004641588833612782 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.92 0.95 0.91 0.86 0.87 0.85 0.82 0.79 0.66 0.68 0.72 0.73 0.76 0.72 0.66 0.71 0.7 0.67 0.64 0.67 0.74 0.7 0.67 0.61 0.6 0.58 0.67 0.65 0.61 0.61 0.56 0.61 0.67
16 0.0002571913809059347 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.98 0.92 0.88 0.84 0.84 0.8 0.82 0.74 0.79 0.74 0.74 0.64 0.73 0.64 0.68 0.69 0.72 0.64 0.63 0.67 0.67 0.59 0.68 0.66 0.61 0.67 0.65 0.65 0.65 0.62 0.66 0.65 0.65
17 0.00014251026703029993 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.99 0.96 0.94 0.91 0.96 0.81 0.81 0.89 0.77 0.75 0.74 0.69 0.81 0.64 0.63 0.74 0.69 0.69 0.64 0.68 0.62 0.67 0.67 0.61 0.65 0.65 0.67 0.65 0.57 0.65 0.65 0.57 0.65
18 7.896522868499733e-05 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.95 0.98 0.9 0.86 0.92 0.87 0.83 0.81 0.74 0.77 0.83 0.76 0.72 0.7 0.68 0.73 0.68 0.71 0.62 0.65 0.7 0.7 0.68 0.61 0.66 0.72 0.58 0.67 0.61 0.64 0.66 0.65
19 4.375479375074189e-05 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.96 0.95 0.93 0.89 0.81 0.81 0.8 0.82 0.81 0.71 0.68 0.78 0.64 0.63 0.72 0.72 0.66 0.7 0.55 0.72 0.67 0.67 0.68 0.63 0.67 0.66 0.65 0.6 0.65 0.65 0.71
20 2.424462017082331e-05 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.99 0.99 0.93 0.94 0.92 0.93 0.89 0.89 0.82 0.7 0.8 0.61 0.79 0.72 0.71 0.7 0.72 0.73 0.73 0.73 0.81 0.7 0.71 0.69 0.63 0.64 0.6 0.64 0.6 0.61 0.64 0.62
21 1.3433993325989015e-05 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.99 0.98 0.93 0.96 0.9 0.9 0.84 0.82 0.72 0.78 0.77 0.83 0.67 0.71 0.72 0.74 0.73 0.67 0.7 0.65 0.55 0.71 0.55 0.63 0.64 0.67 0.68 0.69 0.65 0.7 0.64
22 7.443803013251696e-06 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.95 0.95 0.91 0.84 0.85 0.82 0.8 0.76 0.73 0.76 0.75 0.65 0.7 0.74 0.7 0.73 0.7 0.65 0.65 0.54 0.64 0.63 0.55 0.8 0.63 0.64 0.64 0.65
23 4.124626382901356e-06 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.97 0.95 0.93 0.91 0.82 0.87 0.83 0.78 0.75 0.77 0.76 0.72 0.76 0.65 0.69 0.65 0.67 0.65 0.66 0.72 0.64 0.7 0.65 0.62 0.62 0.63 0.67 0.8
24 2.285463864134993e-06 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.96 0.97 0.9 0.89 0.79 0.83 0.81 0.77 0.78 0.72 0.79 0.77 0.69 0.78 0.73 0.65 0.65 0.74 0.67 0.65 0.71 0.64 0.63 0.68 0.62 0.62 0.64
25 1.2663801734674047e-06 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.96 0.93 0.87 0.9 0.9 0.81 0.79 0.79 0.75 0.74 0.76 0.7 0.7 0.82 0.73 0.71 0.63 0.65 0.67 0.68 0.74 0.63 0.64 0.65 0.63 0.67
26 7.017038286703837e-07 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.99 1.0 0.94 0.94 0.92 0.85 0.88 0.82 0.83 0.86 0.81 0.75 0.72 0.71 0.76 0.79 0.68 0.67 0.66 0.65 0.63 0.71 0.65 0.67 0.71 0.6 0.65 0.67
27 3.8881551803080935e-07 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.96 0.95 0.88 0.86 0.83 0.82 0.91 0.84 0.81 0.73 0.72 0.7 0.7 0.75 0.68 0.68 0.71 0.7 0.72 0.63 0.67 0.63 0.65 0.65 0.61
28 2.1544346900318867e-07 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.98 0.96 0.95 0.92 0.95 0.9 0.85 0.84 0.8 0.74 0.76 0.75 0.84 0.7 0.69 0.68 0.65 0.67 0.71 0.67 0.65 0.72 0.72 0.62 0.67 0.72
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1.9144819761699614e-09,1.0,1.0,1.0,1.0,1.0,1.0,0.999,1.0,1.0,1.0,1.0,0.999,1.0,0.999,1.0,1.0,0.999,1.0,0.978,0.819,0.637,0.57,0.485,0.48,0.433,0.393,0.408,0.375,0.396,0.355,0.373,0.336,0.364,0.312,0.33,0.306,0.311,0.356,0.328,0.319
1.0608183551394483e-09,1.0,0.999,1.0,1.0,1.0,1.0,1.0,0.999,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.998,0.947,0.737,0.623,0.532,0.536,0.475,0.447,0.432,0.393,0.373,0.394,0.334,0.319,0.342,0.328,0.324,0.327,0.344,0.304,0.353,0.329
5.878016072274924e-10,1.0,0.998,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.999,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.993,0.882,0.716,0.605,0.542,0.503,0.477,0.43,0.397,0.394,0.4,0.371,0.315,0.345,0.357,0.333,0.332,0.317,0.305,0.325,0.34
3.2570206556597964e-10,1.0,1.0,0.998,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.998,1.0,1.0,0.998,1.0,1.0,1.0,1.0,1.0,0.982,0.863,0.676,0.552,0.496,0.457,0.452,0.397,0.402,0.387,0.345,0.366,0.358,0.358,0.339,0.336,0.296,0.353,0.332,0.35
1.8047217668271738e-10,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.998,1.0,1.0,0.999,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.998,0.953,0.77,0.633,0.562,0.469,0.487,0.429,0.427,0.396,0.384,0.371,0.371,0.348,0.326,0.303,0.324,0.353,0.339,0.352
1e-10,1.0,1.0,1.0,1.0,0.999,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.999,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.997,0.913,0.759,0.593,0.543,0.52,0.456,0.469,0.425,0.398,0.352,0.371,0.346,0.345,0.352,0.332,0.328,0.315,0.323
1 20 25 30 34 39 43 48 53 57 62 66 71 76 80 85 90 94 99 103 108 113 117 122 126 131 136 140 145 149 154 159 163 168 172 177 182 186 191 195 200
2 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
3 0.5541020330009492 0.961 0.96 0.961 0.958 0.96 0.958 0.96 0.964 0.958 0.956 0.959 0.957 0.959 0.966 0.955 0.959 0.963 0.959 0.957 0.955 0.957 0.972 0.962 0.957 0.964 0.957 0.955 0.962 0.955 0.956 0.964 0.955 0.972 0.955 0.962 0.964 0.962 0.955 0.972 0.962
4 0.30702906297578497 0.843 0.842 0.824 0.82 0.819 0.803 0.801 0.801 0.801 0.814 0.817 0.8 0.797 0.799 0.799 0.821 0.797 0.798 0.816 0.8 0.811 0.8 0.8 0.788 0.797 0.799 0.796 0.794 0.818 0.794 0.794 0.811 0.799 0.794 0.797 0.809 0.788 0.809 0.809 0.797
5 0.17012542798525893 0.733 0.659 0.622 0.569 0.547 0.533 0.516 0.546 0.526 0.518 0.496 0.509 0.465 0.491 0.484 0.48 0.456 0.456 0.467 0.479 0.439 0.45 0.443 0.442 0.473 0.435 0.44 0.454 0.449 0.47 0.429 0.428 0.452 0.441 0.427 0.429 0.435 0.45 0.44 0.439
6 0.09426684551178854 0.66 0.571 0.513 0.485 0.438 0.412 0.4 0.405 0.384 0.367 0.345 0.345 0.351 0.348 0.348 0.327 0.338 0.343 0.323 0.321 0.337 0.335 0.314 0.337 0.332 0.319 0.306 0.328 0.318 0.318 0.328 0.317 0.317 0.309 0.292 0.313 0.308 0.308 0.315 0.291
7 0.052233450742668434 0.689 0.597 0.507 0.493 0.421 0.399 0.392 0.377 0.347 0.353 0.326 0.317 0.33 0.32 0.315 0.309 0.291 0.303 0.308 0.305 0.298 0.275 0.297 0.279 0.299 0.279 0.269 0.269 0.276 0.279 0.287 0.293 0.269 0.293 0.278 0.278 0.293 0.299 0.274 0.269
8 0.028942661247167517 0.775 0.64 0.555 0.504 0.453 0.404 0.391 0.391 0.381 0.364 0.332 0.34 0.324 0.299 0.297 0.29 0.287 0.284 0.282 0.28 0.303 0.303 0.302 0.287 0.287 0.287 0.281 0.287 0.271 0.296 0.296 0.291 0.29 0.29 0.297 0.29 0.284 0.268 0.279 0.268
9 0.016037187437513308 0.883 0.684 0.577 0.528 0.474 0.441 0.4 0.368 0.35 0.337 0.347 0.309 0.318 0.322 0.318 0.314 0.3 0.306 0.283 0.297 0.306 0.281 0.306 0.293 0.293 0.303 0.291 0.291 0.291 0.291 0.273 0.299 0.3 0.29 0.289 0.3 0.299 0.289 0.289 0.273
10 0.008886238162743407 0.98 0.82 0.624 0.574 0.499 0.434 0.424 0.419 0.408 0.335 0.344 0.33 0.321 0.317 0.311 0.29 0.312 0.3 0.323 0.298 0.326 0.297 0.296 0.294 0.293 0.324 0.278 0.317 0.297 0.316 0.315 0.323 0.323 0.297 0.29 0.275 0.287 0.275 0.275 0.297
11 0.004923882631706742 0.996 0.909 0.74 0.599 0.513 0.505 0.429 0.431 0.408 0.365 0.384 0.381 0.353 0.328 0.351 0.335 0.308 0.336 0.356 0.32 0.318 0.33 0.316 0.314 0.328 0.314 0.309 0.3 0.319 0.317 0.298 0.318 0.315 0.298 0.332 0.327 0.346 0.313 0.327 0.346
12 0.0027283333764867696 1.0 0.994 0.842 0.711 0.572 0.558 0.482 0.426 0.435 0.408 0.395 0.368 0.348 0.341 0.343 0.358 0.366 0.328 0.329 0.33 0.345 0.345 0.327 0.316 0.315 0.325 0.325 0.355 0.314 0.313 0.354 0.334 0.325 0.299 0.315 0.352 0.325 0.325 0.313 0.312
13 0.001511775070615663 0.999 0.999 0.951 0.822 0.645 0.548 0.482 0.455 0.431 0.403 0.413 0.379 0.364 0.33 0.367 0.335 0.344 0.335 0.328 0.311 0.326 0.321 0.348 0.316 0.324 0.303 0.334 0.315 0.328 0.333 0.354 0.305 0.325 0.315 0.322 0.31 0.301 0.328 0.322 0.344
14 0.0008376776400682924 1.0 0.999 0.996 0.93 0.717 0.613 0.55 0.484 0.448 0.429 0.383 0.401 0.385 0.384 0.345 0.325 0.316 0.332 0.37 0.315 0.365 0.309 0.345 0.351 0.331 0.318 0.329 0.318 0.329 0.348 0.316 0.357 0.321 0.307 0.321 0.313 0.321 0.357 0.338 0.304
15 0.0004641588833612782 1.0 1.0 1.0 0.987 0.873 0.727 0.583 0.539 0.484 0.461 0.399 0.384 0.391 0.386 0.371 0.34 0.359 0.339 0.37 0.334 0.324 0.338 0.321 0.343 0.321 0.305 0.331 0.305 0.331 0.338 0.338 0.336 0.338 0.343 0.325 0.343 0.337 0.336 0.336 0.333
16 0.0002571913809059347 0.999 0.999 1.0 0.999 0.97 0.812 0.631 0.563 0.513 0.483 0.428 0.407 0.385 0.378 0.375 0.37 0.361 0.334 0.338 0.342 0.339 0.347 0.337 0.287 0.344 0.336 0.292 0.331 0.286 0.341 0.341 0.329 0.336 0.33 0.328 0.339 0.328 0.285 0.285 0.325
17 0.00014251026703029993 1.0 0.998 1.0 0.999 0.998 0.954 0.774 0.6 0.549 0.495 0.457 0.416 0.398 0.357 0.316 0.355 0.334 0.319 0.34 0.338 0.335 0.339 0.337 0.322 0.294 0.331 0.293 0.292 0.292 0.317 0.327 0.348 0.329 0.328 0.316 0.328 0.328 0.32 0.29 0.316
18 7.896522868499733e-05 0.999 1.0 1.0 0.999 0.999 0.993 0.883 0.666 0.578 0.532 0.481 0.465 0.423 0.442 0.36 0.349 0.342 0.334 0.347 0.327 0.325 0.34 0.359 0.358 0.357 0.323 0.323 0.321 0.323 0.352 0.317 0.317 0.317 0.348 0.347 0.317 0.347 0.319 0.358 0.358
19 4.375479375074189e-05 1.0 1.0 0.999 0.999 1.0 0.997 0.979 0.83 0.684 0.554 0.497 0.476 0.47 0.441 0.394 0.377 0.369 0.362 0.334 0.368 0.346 0.358 0.323 0.355 0.354 0.319 0.331 0.322 0.352 0.322 0.36 0.321 0.335 0.32 0.317 0.313 0.312 0.319 0.333 0.312
20 2.424462017082331e-05 0.999 1.0 1.0 1.0 1.0 1.0 0.999 0.944 0.803 0.631 0.558 0.489 0.495 0.432 0.406 0.363 0.386 0.373 0.362 0.33 0.338 0.334 0.337 0.342 0.336 0.334 0.319 0.338 0.302 0.314 0.331 0.313 0.313 0.313 0.334 0.327 0.3 0.329 0.3 0.313
21 1.3433993325989015e-05 0.998 0.999 0.998 1.0 1.0 0.999 1.0 0.996 0.926 0.723 0.592 0.515 0.478 0.434 0.409 0.396 0.396 0.376 0.356 0.351 0.316 0.322 0.317 0.325 0.337 0.315 0.33 0.329 0.338 0.302 0.302 0.317 0.313 0.301 0.302 0.315 0.315 0.325 0.299 0.339
22 7.443803013251696e-06 0.998 0.999 1.0 1.0 1.0 0.998 0.999 0.998 0.986 0.846 0.693 0.579 0.514 0.491 0.425 0.421 0.398 0.376 0.361 0.355 0.346 0.36 0.353 0.338 0.326 0.323 0.33 0.319 0.345 0.315 0.329 0.34 0.342 0.317 0.315 0.317 0.313 0.331 0.34 0.313
23 4.124626382901356e-06 1.0 1.0 1.0 0.999 1.0 1.0 0.998 1.0 1.0 0.959 0.84 0.619 0.562 0.511 0.472 0.463 0.42 0.418 0.398 0.365 0.344 0.37 0.342 0.361 0.36 0.322 0.333 0.358 0.335 0.353 0.345 0.33 0.332 0.33 0.325 0.329 0.348 0.351 0.313 0.325
24 2.285463864134993e-06 0.999 1.0 1.0 1.0 1.0 1.0 1.0 0.999 0.999 0.998 0.931 0.751 0.583 0.518 0.47 0.463 0.432 0.394 0.387 0.393 0.331 0.325 0.312 0.341 0.338 0.331 0.303 0.339 0.357 0.331 0.337 0.298 0.298 0.328 0.333 0.3 0.329 0.329 0.3 0.334
25 1.2663801734674047e-06 1.0 0.999 1.0 1.0 1.0 0.999 1.0 1.0 1.0 1.0 0.998 0.868 0.686 0.601 0.506 0.482 0.426 0.415 0.397 0.398 0.352 0.36 0.354 0.337 0.31 0.361 0.33 0.311 0.342 0.334 0.351 0.333 0.337 0.304 0.35 0.337 0.318 0.322 0.302 0.322
26 7.017038286703837e-07 0.999 0.999 1.0 1.0 1.0 0.999 1.0 0.999 1.0 1.0 0.999 0.972 0.817 0.667 0.572 0.504 0.461 0.42 0.409 0.393 0.376 0.366 0.339 0.339 0.354 0.342 0.361 0.322 0.323 0.341 0.319 0.322 0.318 0.317 0.304 0.317 0.315 0.318 0.317 0.335
27 3.8881551803080935e-07 1.0 1.0 1.0 0.999 0.999 0.999 1.0 1.0 0.999 0.999 1.0 0.997 0.929 0.785 0.653 0.535 0.508 0.468 0.456 0.411 0.396 0.389 0.364 0.342 0.363 0.344 0.347 0.322 0.328 0.339 0.319 0.319 0.337 0.322 0.323 0.317 0.338 0.321 0.317 0.33
28 2.1544346900318867e-07 0.999 0.999 1.0 1.0 1.0 1.0 0.999 1.0 0.999 1.0 0.999 1.0 0.996 0.902 0.691 0.622 0.52 0.483 0.445 0.405 0.412 0.391 0.363 0.359 0.355 0.344 0.337 0.34 0.332 0.341 0.347 0.347 0.325 0.321 0.347 0.313 0.338 0.322 0.331 0.331
29 1.193776641714438e-07 1.0 1.0 0.999 1.0 1.0 0.999 1.0 1.0 0.999 1.0 1.0 1.0 0.999 0.985 0.836 0.647 0.561 0.505 0.472 0.441 0.395 0.411 0.36 0.363 0.356 0.35 0.34 0.338 0.339 0.336 0.337 0.317 0.347 0.314 0.32 0.342 0.313 0.332 0.313 0.319
30 6.614740641230159e-08 1.0 0.999 1.0 1.0 0.999 1.0 1.0 1.0 1.0 1.0 1.0 0.999 1.0 1.0 0.958 0.757 0.631 0.555 0.502 0.453 0.418 0.403 0.377 0.372 0.377 0.35 0.345 0.334 0.321 0.318 0.33 0.322 0.327 0.321 0.343 0.328 0.325 0.335 0.342 0.311
31 3.665241237079634e-08 1.0 1.0 1.0 1.0 1.0 0.999 1.0 1.0 1.0 0.999 0.999 1.0 1.0 0.999 0.994 0.908 0.722 0.571 0.543 0.519 0.485 0.431 0.418 0.403 0.335 0.335 0.356 0.35 0.347 0.354 0.33 0.341 0.328 0.321 0.353 0.316 0.315 0.324 0.365 0.375
32 2.030917620904739e-08 1.0 1.0 0.999 0.999 0.999 1.0 0.999 0.999 0.999 1.0 1.0 0.999 1.0 1.0 1.0 0.985 0.874 0.677 0.569 0.543 0.511 0.416 0.418 0.429 0.408 0.387 0.326 0.346 0.349 0.338 0.361 0.361 0.358 0.341 0.327 0.359 0.316 0.32 0.337 0.345
33 1.125335582600767e-08 1.0 0.999 1.0 1.0 1.0 0.999 1.0 1.0 0.999 0.999 1.0 1.0 0.999 1.0 1.0 0.998 0.97 0.8 0.647 0.542 0.49 0.463 0.45 0.428 0.391 0.392 0.37 0.329 0.382 0.362 0.387 0.316 0.359 0.325 0.377 0.323 0.357 0.312 0.329 0.311
34 6.235507341273925e-09 0.999 0.999 0.999 1.0 1.0 1.0 1.0 1.0 0.999 0.999 0.999 0.999 0.999 1.0 1.0 0.999 0.997 0.928 0.771 0.589 0.558 0.525 0.467 0.432 0.392 0.406 0.392 0.345 0.373 0.333 0.318 0.311 0.308 0.325 0.324 0.305 0.324 0.354 0.311 0.343
35 3.4551072945922323e-09 1.0 1.0 0.999 0.999 0.999 1.0 1.0 1.0 0.999 1.0 0.999 1.0 1.0 0.999 1.0 1.0 1.0 0.991 0.892 0.68 0.546 0.544 0.463 0.428 0.399 0.371 0.364 0.355 0.38 0.322 0.332 0.364 0.319 0.326 0.305 0.306 0.329 0.344 0.305 0.326
36 1.9144819761699614e-09 1.0 1.0 1.0 1.0 1.0 1.0 0.999 1.0 1.0 1.0 1.0 0.999 1.0 0.999 1.0 1.0 0.999 1.0 0.978 0.819 0.637 0.57 0.485 0.48 0.433 0.393 0.408 0.375 0.396 0.355 0.373 0.336 0.364 0.312 0.33 0.306 0.311 0.356 0.328 0.319
37 1.0608183551394483e-09 1.0 0.999 1.0 1.0 1.0 1.0 1.0 0.999 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.998 0.947 0.737 0.623 0.532 0.536 0.475 0.447 0.432 0.393 0.373 0.394 0.334 0.319 0.342 0.328 0.324 0.327 0.344 0.304 0.353 0.329
38 5.878016072274924e-10 1.0 0.998 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.999 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.993 0.882 0.716 0.605 0.542 0.503 0.477 0.43 0.397 0.394 0.4 0.371 0.315 0.345 0.357 0.333 0.332 0.317 0.305 0.325 0.34
39 3.2570206556597964e-10 1.0 1.0 0.998 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.998 1.0 1.0 0.998 1.0 1.0 1.0 1.0 1.0 0.982 0.863 0.676 0.552 0.496 0.457 0.452 0.397 0.402 0.387 0.345 0.366 0.358 0.358 0.339 0.336 0.296 0.353 0.332 0.35
40 1.8047217668271738e-10 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.998 1.0 1.0 0.999 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.998 0.953 0.77 0.633 0.562 0.469 0.487 0.429 0.427 0.396 0.384 0.371 0.371 0.348 0.326 0.303 0.324 0.353 0.339 0.352
41 1e-10 1.0 1.0 1.0 1.0 0.999 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.999 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.997 0.913 0.759 0.593 0.543 0.52 0.456 0.469 0.425 0.398 0.352 0.371 0.346 0.345 0.352 0.332 0.328 0.315 0.323

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0.028942661247167517,0.6841,0.6171,0.5737,0.5439,0.5277,0.5232,0.5035,0.5043,0.4987,0.4927,0.483,0.481,0.4697,0.4764,0.4737,0.4642,0.4656,0.4696,0.4593,0.4594,0.4677,0.4665,0.4658,0.4601,0.4559,0.4557,0.4596,0.4579,0.4635,0.4583,0.4582,0.4622,0.4539,0.457,0.4613,0.4526,0.4614,0.4523,0.4562,0.452
0.016037187437513308,0.7523,0.652,0.5902,0.5571,0.5326,0.5214,0.5121,0.506,0.5004,0.4847,0.4772,0.4716,0.4715,0.461,0.4632,0.4728,0.461,0.4701,0.4694,0.4569,0.4593,0.4614,0.4579,0.4554,0.4572,0.4652,0.4673,0.4591,0.4666,0.4491,0.449,0.4555,0.4583,0.4654,0.454,0.4487,0.4536,0.4511,0.4515,0.4484
0.008886238162743407,0.854,0.6995,0.6139,0.582,0.5509,0.5345,0.5169,0.5052,0.5046,0.4963,0.4793,0.4751,0.4697,0.4672,0.4739,0.4599,0.4717,0.4704,0.4609,0.4591,0.4586,0.4583,0.4668,0.4681,0.4577,0.4572,0.457,0.4579,0.4579,0.4579,0.4671,0.4558,0.4504,0.4502,0.4527,0.4552,0.4552,0.4551,0.4545,0.4498
0.004923882631706742,0.9377,0.7805,0.6566,0.6092,0.5684,0.5462,0.5293,0.5151,0.5047,0.4959,0.4836,0.4812,0.4733,0.4751,0.4709,0.4645,0.4646,0.4625,0.4644,0.4614,0.464,0.4601,0.4597,0.4585,0.4624,0.4645,0.4591,0.4558,0.4589,0.4512,0.4636,0.4613,0.458,0.4581,0.463,0.4601,0.4536,0.4491,0.4576,0.4574
0.0027283333764867696,0.9725,0.8807,0.7299,0.6499,0.5888,0.5705,0.5444,0.5245,0.5177,0.5042,0.4842,0.4829,0.4826,0.4667,0.47,0.4711,0.4698,0.4678,0.4543,0.4654,0.461,0.4527,0.4657,0.4597,0.4715,0.4712,0.4655,0.4601,0.4523,0.465,0.4583,0.4516,0.4723,0.4721,0.463,0.463,0.4502,0.4626,0.4499,0.4498
0.001511775070615663,0.9799,0.9585,0.8239,0.7127,0.6269,0.5909,0.5651,0.5426,0.5262,0.5041,0.4901,0.4865,0.4739,0.4835,0.4757,0.4799,0.4781,0.4735,0.4564,0.4718,0.4673,0.4729,0.4654,0.4602,0.472,0.465,0.4657,0.4645,0.4645,0.4736,0.4717,0.4566,0.4637,0.4588,0.4714,0.4632,0.4697,0.4632,0.4672,0.473
0.0008376776400682924,0.9799,0.9756,0.9253,0.8025,0.6774,0.6201,0.5799,0.5505,0.531,0.5224,0.5144,0.4976,0.4888,0.4833,0.4811,0.4821,0.4654,0.4758,0.4765,0.4621,0.4677,0.467,0.4645,0.4602,0.4584,0.4649,0.4595,0.4612,0.4633,0.4632,0.4573,0.4595,0.4687,0.4643,0.4571,0.4667,0.4575,0.4571,0.4679,0.4579
0.0004641588833612782,0.9798,0.9795,0.9709,0.9108,0.7457,0.6511,0.6036,0.567,0.5507,0.528,0.5081,0.502,0.4949,0.4847,0.4845,0.4801,0.468,0.4717,0.4642,0.4692,0.4755,0.4716,0.4653,0.4648,0.462,0.4656,0.4643,0.465,0.4659,0.4637,0.4588,0.4588,0.4687,0.4584,0.4725,0.4581,0.4593,0.4582,0.4591,0.4589
0.0002571913809059347,0.9787,0.9768,0.9776,0.9665,0.8423,0.7242,0.6242,0.5846,0.5629,0.5349,0.5234,0.5103,0.501,0.4937,0.4871,0.4718,0.4742,0.4737,0.4661,0.4776,0.4667,0.4758,0.475,0.4739,0.4578,0.474,0.4598,0.467,0.4596,0.4667,0.4666,0.4616,0.4712,0.4662,0.464,0.4599,0.458,0.4598,0.465,0.4592
0.00014251026703029993,0.9794,0.9799,0.979,0.9795,0.9392,0.8202,0.6908,0.6068,0.5845,0.549,0.5373,0.5132,0.5053,0.5094,0.4854,0.4874,0.4788,0.4811,0.464,0.4767,0.4705,0.4704,0.4591,0.4706,0.4615,0.4616,0.4729,0.4614,0.4684,0.4601,0.4719,0.4615,0.4561,0.4641,0.4604,0.4638,0.4605,0.4589,0.4603,0.46
7.896522868499733e-05,0.979,0.9789,0.9792,0.979,0.9697,0.9249,0.7607,0.6489,0.6006,0.5668,0.55,0.5332,0.5142,0.5076,0.4978,0.4945,0.4864,0.4784,0.475,0.465,0.4673,0.4719,0.4617,0.4635,0.4701,0.4683,0.4681,0.4668,0.4617,0.4615,0.4657,0.4647,0.4611,0.4679,0.4678,0.4664,0.4648,0.4612,0.4659,0.4656
4.375479375074189e-05,0.9793,0.9783,0.9783,0.9791,0.9786,0.9691,0.8684,0.7118,0.6403,0.5937,0.5672,0.5568,0.5174,0.5148,0.5023,0.4942,0.4891,0.4747,0.4706,0.4759,0.4789,0.4739,0.4625,0.4685,0.4679,0.4676,0.4671,0.4593,0.4677,0.4625,0.4661,0.4583,0.4581,0.4662,0.4661,0.4661,0.458,0.4603,0.4658,0.4724
2.424462017082331e-05,0.9783,0.9793,0.9792,0.9793,0.9782,0.9757,0.95,0.8117,0.7026,0.6214,0.5842,0.5493,0.5387,0.5229,0.5123,0.4997,0.4947,0.4787,0.4734,0.4851,0.4653,0.4642,0.4747,0.462,0.4698,0.4679,0.4677,0.4685,0.4617,0.4667,0.4683,0.4663,0.4585,0.466,0.4699,0.4593,0.4665,0.4693,0.4579,0.4692
1.3433993325989015e-05,0.9788,0.9793,0.9789,0.9811,0.9787,0.9781,0.9764,0.912,0.786,0.6647,0.6158,0.5729,0.5491,0.536,0.5222,0.5026,0.5009,0.4912,0.4753,0.4713,0.4775,0.4647,0.4721,0.4723,0.4696,0.4599,0.463,0.4687,0.4752,0.4617,0.4604,0.4745,0.46,0.461,0.4681,0.4689,0.4689,0.4677,0.4639,0.4688
7.443803013251696e-06,0.98,0.9811,0.9768,0.9809,0.9789,0.9808,0.9768,0.9667,0.8934,0.7384,0.6436,0.6021,0.5631,0.5477,0.532,0.509,0.5065,0.4974,0.4864,0.4854,0.4783,0.4768,0.4668,0.4691,0.464,0.4705,0.4696,0.4619,0.4647,0.4635,0.4649,0.4672,0.4645,0.4601,0.4738,0.464,0.4669,0.4697,0.4659,0.4655
4.124626382901356e-06,0.9768,0.98,0.9774,0.9773,0.9768,0.9768,0.9804,0.9764,0.96,0.8257,0.7161,0.6318,0.5898,0.5634,0.5414,0.5315,0.5074,0.5017,0.4911,0.4826,0.4778,0.4793,0.4704,0.4652,0.4691,0.4649,0.4705,0.47,0.4699,0.4644,0.4722,0.4644,0.4663,0.4648,0.4629,0.4629,0.4628,0.471,0.4577,0.4603
2.285463864134993e-06,0.9774,0.9786,0.9805,0.9787,0.9787,0.9793,0.979,0.9783,0.9728,0.9283,0.7996,0.6729,0.6136,0.5776,0.556,0.5258,0.5232,0.5081,0.5003,0.4908,0.4799,0.4887,0.4846,0.4719,0.466,0.4648,0.464,0.4608,0.4666,0.4595,0.4656,0.4616,0.4652,0.465,0.4648,0.4665,0.4733,0.4631,0.4629,0.464
1.2663801734674047e-06,0.9786,0.9786,0.9793,0.9786,0.9793,0.9789,0.9799,0.9793,0.9789,0.9732,0.911,0.7469,0.6523,0.6035,0.5714,0.5421,0.5286,0.5154,0.5049,0.4978,0.4834,0.484,0.471,0.4734,0.4695,0.4795,0.4619,0.4683,0.4684,0.4649,0.4676,0.4595,0.4592,0.4647,0.4667,0.4616,0.4592,0.4615,0.459,0.4662
7.017038286703837e-07,0.9762,0.9799,0.9789,0.9789,0.9771,0.9783,0.9777,0.9777,0.977,0.9757,0.9641,0.8545,0.7031,0.6406,0.5882,0.5633,0.5438,0.5292,0.5148,0.5048,0.4909,0.4906,0.4821,0.4808,0.4676,0.4724,0.4633,0.4691,0.4704,0.4643,0.4672,0.463,0.4665,0.4625,0.4662,0.4621,0.4654,0.461,0.4656,0.461
3.8881551803080935e-07,0.9814,0.9783,0.9776,0.9814,0.9783,0.9789,0.9791,0.9776,0.9785,0.9786,0.9766,0.9441,0.7953,0.6897,0.6146,0.5789,0.5571,0.5341,0.5197,0.5117,0.4962,0.4949,0.482,0.4762,0.4776,0.4759,0.4742,0.4687,0.4704,0.4623,0.4691,0.47,0.4629,0.4651,0.465,0.4637,0.4607,0.468,0.4602,0.4605
2.1544346900318867e-07,0.9779,0.9785,0.9785,0.9785,0.9789,0.9789,0.9789,0.9779,0.9789,0.9784,0.9769,0.973,0.9076,0.7713,0.6549,0.5953,0.5753,0.5452,0.5342,0.5145,0.5006,0.4987,0.4956,0.4815,0.4748,0.4714,0.47,0.4662,0.4649,0.4665,0.4659,0.4684,0.4615,0.4618,0.4628,0.4626,0.4601,0.4619,0.4607,0.4611
1.193776641714438e-07,0.9784,0.9778,0.9775,0.9784,0.9775,0.9806,0.9775,0.9793,0.9778,0.9806,0.9774,0.9764,0.9641,0.8779,0.7256,0.6322,0.5894,0.5561,0.5397,0.5239,0.5091,0.5037,0.4879,0.4946,0.4758,0.4764,0.4683,0.4675,0.4774,0.4638,0.4652,0.4608,0.4645,0.4608,0.471,0.4636,0.4627,0.4597,0.463,0.47
6.614740641230159e-08,0.9774,0.9778,0.9782,0.9774,0.9783,0.9775,0.9802,0.9783,0.9778,0.9783,0.9782,0.978,0.9784,0.9589,0.818,0.6837,0.6209,0.5789,0.5649,0.5454,0.5147,0.5042,0.504,0.4966,0.4811,0.4858,0.476,0.4726,0.4689,0.4747,0.4611,0.4605,0.4711,0.4662,0.4692,0.4689,0.459,0.4638,0.47,0.4695
3.665241237079634e-08,0.9802,0.9809,0.9809,0.9794,0.9794,0.9794,0.9782,0.9794,0.9786,0.9786,0.9794,0.9813,0.9786,0.9748,0.9239,0.765,0.6747,0.6114,0.5657,0.5561,0.5331,0.5151,0.5066,0.5046,0.4975,0.489,0.4796,0.4656,0.4769,0.4724,0.4729,0.4594,0.4584,0.4579,0.474,0.4662,0.457,0.4586,0.4565,0.465
2.030917620904739e-08,0.9793,0.9793,0.9766,0.9776,0.9766,0.9766,0.9776,0.9793,0.9783,0.9786,0.9776,0.9776,0.9791,0.9778,0.9675,0.8732,0.7363,0.6489,0.5969,0.5643,0.5517,0.5299,0.5227,0.5125,0.4965,0.4943,0.4821,0.4774,0.4853,0.4721,0.4627,0.4618,0.4691,0.4579,0.4675,0.4672,0.4593,0.4679,0.4641,0.4639
1.125335582600767e-08,0.9788,0.9793,0.9781,0.9794,0.9766,0.9794,0.9775,0.9771,0.9788,0.9776,0.9788,0.9788,0.9794,0.9817,0.9783,0.9536,0.8401,0.6952,0.6277,0.5798,0.5564,0.5421,0.5225,0.5124,0.5097,0.4922,0.4934,0.4878,0.4768,0.4673,0.4716,0.4702,0.4682,0.4689,0.4666,0.4661,0.46,0.4645,0.4596,0.4594
6.235507341273925e-09,0.9802,0.9779,0.9794,0.9802,0.9791,0.9788,0.9802,0.9775,0.9779,0.9802,0.9802,0.9781,0.9775,0.9779,0.9773,0.9773,0.9387,0.7874,0.6831,0.6229,0.5755,0.5523,0.5353,0.5216,0.5185,0.5012,0.4952,0.487,0.4804,0.488,0.4727,0.4649,0.4684,0.4624,0.4612,0.4675,0.4611,0.4653,0.4608,0.465
3.4551072945922323e-09,0.9774,0.9796,0.9787,0.9796,0.9788,0.9779,0.9796,0.9788,0.9791,0.9774,0.9787,0.9791,0.9791,0.9788,0.9802,0.9779,0.9744,0.8963,0.767,0.6588,0.6039,0.5692,0.544,0.5372,0.5151,0.5051,0.4911,0.4889,0.4835,0.4856,0.4772,0.4685,0.4732,0.4707,0.4577,0.4704,0.4698,0.4616,0.4603,0.4558
1.9144819761699614e-09,0.9787,0.9796,0.9787,0.9784,0.9788,0.9776,0.9787,0.9787,0.9779,0.9787,0.9778,0.9811,0.9796,0.9796,0.9784,0.9795,0.9771,0.9605,0.868,0.7094,0.6282,0.5903,0.5643,0.5452,0.5248,0.505,0.5024,0.4974,0.4859,0.4791,0.4751,0.4708,0.4691,0.4606,0.4675,0.467,0.4748,0.4747,0.4682,0.4741
1.0608183551394483e-09,0.9776,0.9784,0.9778,0.9791,0.9779,0.9776,0.9782,0.9811,0.9795,0.9776,0.9811,0.9795,0.9791,0.9816,0.9778,0.9811,0.9775,0.9766,0.9539,0.8159,0.6827,0.6167,0.5809,0.5535,0.5314,0.5196,0.5133,0.49,0.4907,0.491,0.4796,0.4803,0.4693,0.4691,0.4687,0.4653,0.4556,0.4791,0.4665,0.4655
5.878016072274924e-10,0.9816,0.9789,0.9778,0.9776,0.9795,0.9782,0.9816,0.9791,0.9782,0.9803,0.9794,0.9816,0.9789,0.9791,0.9795,0.9816,0.9776,0.9793,0.9775,0.9154,0.7579,0.6692,0.6022,0.5723,0.55,0.5272,0.5182,0.51,0.5088,0.4884,0.4728,0.4844,0.4732,0.4758,0.4652,0.4808,0.4631,0.4557,0.4641,0.479
3.2570206556597964e-10,0.9776,0.9778,0.975,0.9777,0.9782,0.9777,0.9794,0.9814,0.9805,0.9782,0.9816,0.9805,0.9816,0.9814,0.976,0.9792,0.9793,0.9816,0.9782,0.966,0.8589,0.7332,0.6343,0.6003,0.5634,0.5396,0.5312,0.5133,0.5081,0.488,0.4906,0.4867,0.4806,0.4793,0.4835,0.4725,0.481,0.4701,0.4691,0.4671
1.8047217668271738e-10,0.975,0.9803,0.9777,0.9794,0.9794,0.9805,0.9774,0.9814,0.9794,0.9805,0.9814,0.9792,0.9792,0.9795,0.976,0.9795,0.9814,0.9792,0.976,0.9793,0.9501,0.8415,0.688,0.6367,0.5835,0.5589,0.5341,0.5275,0.5157,0.4953,0.4961,0.4817,0.4753,0.4803,0.4759,0.4705,0.4693,0.4652,0.4686,0.4639
1e-10,0.9777,0.9774,0.9805,0.9805,0.9795,0.9795,0.9792,0.9792,0.9795,0.9794,0.9765,0.9794,0.9814,0.9792,0.9814,0.9794,0.9765,0.9778,0.9792,0.9771,0.971,0.9372,0.7775,0.6718,0.6127,0.5754,0.5499,0.5307,0.5222,0.5117,0.498,0.489,0.4834,0.4724,0.4801,0.4663,0.4666,0.4681,0.4647,0.4616
1 20 25 30 34 39 43 48 53 57 62 66 71 76 80 85 90 94 99 103 108 113 117 122 126 131 136 140 145 149 154 159 163 168 172 177 182 186 191 195 200
2 1.0 0.9982 0.9982 0.9982 0.9982 0.9982 0.9982 0.9982 0.9982 0.9976 0.9976 0.9976 0.9976 0.9976 0.9976 0.9976 0.9976 0.9978 0.9978 0.9978 0.9978 0.9978 0.9978 0.9978 0.9978 0.9971 0.9971 0.9971 0.9971 0.9971 0.9971 0.9971 0.9971 0.9978 0.9978 0.9978 0.9978 0.9978 0.9978 0.9978 0.9978
3 0.5541020330009492 0.8391 0.8381 0.8316 0.837 0.8302 0.8341 0.8363 0.8294 0.8332 0.8354 0.8355 0.835 0.8288 0.8318 0.8347 0.8347 0.8284 0.8342 0.8368 0.8284 0.8307 0.8344 0.8283 0.8366 0.8302 0.8282 0.8353 0.8302 0.834 0.8361 0.8301 0.8352 0.8338 0.83 0.8432 0.8336 0.8356 0.8347 0.8335 0.8431
4 0.30702906297578497 0.7377 0.7246 0.7251 0.7187 0.7116 0.7101 0.7159 0.7105 0.715 0.7141 0.7137 0.7061 0.7108 0.6972 0.7031 0.71 0.7099 0.7043 0.7094 0.7055 0.7029 0.7128 0.711 0.7024 0.7024 0.7047 0.7023 0.7031 0.6947 0.7043 0.7085 0.7041 0.704 0.694 0.7039 0.6967 0.6937 0.7116 0.7017 0.6937
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0.016037187437513308,0.5672,0.4393,0.3819,0.355,0.336,0.3253,0.3128,0.3013,0.2941,0.2875,0.2877,0.2748,0.2778,0.2736,0.2694,0.2662,0.2639,0.2604,0.2618,0.2586,0.258,0.2563,0.2554,0.2543,0.2532,0.2492,0.2433,0.2513,0.2426,0.2423,0.2419,0.2418,0.2416,0.2433,0.2478,0.2411,0.2473,0.2471,0.2469,0.2467
0.008886238162743407,0.6392,0.5108,0.4162,0.3852,0.3581,0.3433,0.3316,0.3203,0.3159,0.3038,0.2974,0.2921,0.2868,0.2825,0.2748,0.2773,0.2796,0.273,0.271,0.2693,0.2736,0.2721,0.2602,0.2701,0.2636,0.2681,0.2674,0.266,0.2607,0.26,0.2483,0.2589,0.2524,0.2578,0.2572,0.2567,0.2508,0.2504,0.247,0.2498
0.004923882631706742,0.6443,0.5891,0.4549,0.4008,0.3682,0.3554,0.3415,0.3313,0.3239,0.312,0.3098,0.3006,0.2863,0.2825,0.2778,0.2755,0.2748,0.2866,0.273,0.2721,0.2738,0.2717,0.2715,0.2707,0.2704,0.274,0.2696,0.269,0.2811,0.2706,0.2701,0.2699,0.2695,0.2707,0.2685,0.2681,0.2708,0.278,0.2777,0.2775
0.0027283333764867696,0.6518,0.6339,0.5512,0.4587,0.3913,0.3713,0.3488,0.3408,0.333,0.3242,0.3166,0.3089,0.2991,0.2914,0.2922,0.2835,0.2811,0.2796,0.2788,0.2781,0.2782,0.2782,0.2775,0.2773,0.2772,0.2768,0.2768,0.2767,0.2768,0.2807,0.2841,0.2766,0.2766,0.2766,0.2764,0.2764,0.2804,0.2764,0.272,0.2804
0.001511775070615663,0.6517,0.6515,0.6262,0.5148,0.4229,0.3911,0.3674,0.3527,0.3453,0.3395,0.3283,0.3189,0.3141,0.3071,0.3003,0.2953,0.2817,0.2867,0.2885,0.2877,0.2768,0.2759,0.2755,0.2753,0.2877,0.2809,0.2749,0.2749,0.2876,0.2876,0.2874,0.2873,0.2766,0.2811,0.2872,0.2872,0.2809,0.2809,0.2809,0.2808
0.0008376776400682924,0.644,0.6493,0.6536,0.6155,0.4731,0.4157,0.3732,0.3629,0.3513,0.3426,0.3366,0.3301,0.3194,0.3096,0.3081,0.2939,0.2893,0.2842,0.2821,0.2803,0.2818,0.2877,0.2868,0.2871,0.2869,0.2868,0.2866,0.2866,0.2794,0.2857,0.2817,0.2857,0.2857,0.2857,0.2854,0.2854,0.2808,0.2787,0.2777,0.2808
0.0004641588833612782,0.6452,0.6452,0.6452,0.6446,0.5567,0.4557,0.3957,0.3696,0.3554,0.3418,0.3371,0.328,0.3209,0.3154,0.3126,0.3017,0.2965,0.2914,0.2874,0.2844,0.2823,0.2818,0.2909,0.2801,0.2809,0.2835,0.2805,0.2833,0.2832,0.2832,0.2834,0.2803,0.283,0.283,0.2822,0.282,0.282,0.282,0.2847,0.2823
0.0002571913809059347,0.6449,0.6449,0.6523,0.6523,0.6383,0.5356,0.4347,0.386,0.3739,0.3558,0.3449,0.337,0.3317,0.3258,0.3197,0.3143,0.3062,0.3075,0.2982,0.2929,0.2902,0.2885,0.2873,0.2842,0.2859,0.2848,0.2838,0.2837,0.285,0.2835,0.2834,0.2852,0.285,0.285,0.2833,0.2847,0.2955,0.2846,0.2846,0.2838
0.00014251026703029993,0.6482,0.642,0.6424,0.6424,0.6456,0.6179,0.4867,0.4093,0.3912,0.3645,0.3632,0.3438,0.3451,0.3308,0.3332,0.3267,0.3049,0.3166,0.2947,0.3046,0.2844,0.3006,0.2804,0.2793,0.2885,0.2781,0.288,0.2828,0.2876,0.2775,0.2876,0.2875,0.2935,0.2875,0.2932,0.2816,0.293,0.2871,0.2928,0.2928
7.896522868499733e-05,0.6488,0.6447,0.6488,0.6543,0.6464,0.6473,0.5778,0.4422,0.4091,0.3788,0.3591,0.3461,0.3387,0.3322,0.3245,0.3265,0.3133,0.3078,0.3005,0.2965,0.298,0.2945,0.2925,0.2862,0.2829,0.29,0.289,0.2887,0.2873,0.2833,0.2833,0.2888,0.2883,0.2867,0.2829,0.2829,0.285,0.2881,0.2881,0.2866
4.375479375074189e-05,0.6468,0.6461,0.649,0.649,0.649,0.6469,0.6386,0.5258,0.4407,0.3931,0.3706,0.3584,0.3484,0.3424,0.3333,0.3278,0.3222,0.3158,0.3092,0.3051,0.2996,0.2956,0.2927,0.2892,0.2883,0.2871,0.2876,0.2861,0.2858,0.2827,0.2865,0.2824,0.2864,0.2864,0.2837,0.2863,0.2787,0.286,0.2837,0.2786
2.424462017082331e-05,0.6504,0.6504,0.6342,0.6504,0.6342,0.6342,0.6441,0.6207,0.4898,0.4124,0.382,0.3563,0.3548,0.3376,0.3329,0.3299,0.3191,0.3199,0.3063,0.3109,0.3004,0.3009,0.2819,0.2856,0.2903,0.2862,0.2876,0.2845,0.2727,0.2838,0.2908,0.286,0.2835,0.272,0.2832,0.272,0.2901,0.2719,0.2846,0.2827
1.3433993325989015e-05,0.6321,0.6508,0.6321,0.6508,0.6508,0.6368,0.6368,0.649,0.6027,0.4582,0.4083,0.3799,0.3477,0.3555,0.3451,0.3341,0.3299,0.3266,0.3205,0.3155,0.311,0.3062,0.3013,0.2965,0.2939,0.2918,0.2915,0.29,0.2855,0.2895,0.2885,0.2893,0.2884,0.2889,0.2768,0.2888,0.2878,0.2767,0.2884,0.2767
7.443803013251696e-06,0.6463,0.641,0.6493,0.641,0.641,0.642,0.6493,0.6493,0.6449,0.5354,0.4455,0.3937,0.3681,0.3619,0.3411,0.332,0.3262,0.3263,0.3264,0.3079,0.3033,0.2955,0.3023,0.2986,0.2942,0.2816,0.2877,0.287,0.2858,0.2888,0.285,0.2846,0.2845,0.2844,0.2783,0.2844,0.2843,0.2753,0.2779,0.2778
4.124626382901356e-06,0.6474,0.6484,0.6417,0.6474,0.6417,0.6474,0.6474,0.6442,0.6489,0.6231,0.5176,0.4281,0.3793,0.3618,0.348,0.3411,0.3353,0.3359,0.3317,0.3161,0.3196,0.3156,0.3109,0.295,0.2995,0.2876,0.2844,0.2929,0.2807,0.2802,0.2794,0.2795,0.2858,0.2888,0.2886,0.2855,0.2886,0.2885,0.2885,0.2911
2.285463864134993e-06,0.6451,0.6518,0.6518,0.6417,0.6451,0.6451,0.6518,0.6518,0.6518,0.6443,0.6067,0.4721,0.4052,0.3708,0.3602,0.3468,0.34,0.3289,0.3298,0.3177,0.3224,0.3066,0.2974,0.2935,0.2892,0.2889,0.295,0.2882,0.2884,0.2855,0.2805,0.2803,0.2798,0.2836,0.2882,0.2884,0.2791,0.2883,0.2833,0.2833
1.2663801734674047e-06,0.653,0.6408,0.6511,0.6342,0.6408,0.6417,0.6342,0.6342,0.6408,0.6403,0.649,0.5605,0.4433,0.3956,0.3782,0.3616,0.3467,0.3404,0.3344,0.3326,0.321,0.3143,0.311,0.3065,0.308,0.2928,0.2965,0.2927,0.2965,0.29,0.29,0.2897,0.2865,0.281,0.2821,0.2889,0.2857,0.2878,0.2816,0.2816
7.017038286703837e-07,0.6517,0.6476,0.6398,0.6475,0.6475,0.6453,0.6517,0.6511,0.6476,0.6398,0.6398,0.6286,0.5001,0.4322,0.3833,0.3672,0.3576,0.3497,0.343,0.3352,0.3207,0.3231,0.3159,0.312,0.2933,0.2991,0.2969,0.2932,0.2908,0.2913,0.2841,0.2837,0.2753,0.2871,0.2746,0.2744,0.2744,0.2856,0.2873,0.2812
3.8881551803080935e-07,0.647,0.647,0.6439,0.647,0.6439,0.6439,0.6477,0.647,0.6439,0.6376,0.6477,0.6447,0.6094,0.499,0.4119,0.374,0.369,0.3506,0.349,0.336,0.3303,0.3241,0.3137,0.3161,0.3075,0.2986,0.2952,0.2984,0.281,0.2866,0.2921,0.2872,0.2833,0.2894,0.2884,0.283,0.2861,0.2884,0.2824,0.2884
2.1544346900318867e-07,0.6497,0.6497,0.6351,0.645,0.6351,0.6439,0.6497,0.6351,0.6405,0.6476,0.6405,0.6485,0.6473,0.5907,0.4462,0.3939,0.3765,0.3627,0.3531,0.3425,0.3248,0.3286,0.3169,0.3188,0.3039,0.2992,0.3006,0.287,0.2876,0.288,0.2923,0.2808,0.2868,0.2861,0.2781,0.2753,0.2878,0.2885,0.2776,0.2849
1.193776641714438e-07,0.6486,0.6486,0.6486,0.6564,0.6405,0.6354,0.6564,0.6354,0.6377,0.6497,0.6456,0.6486,0.6486,0.6329,0.5373,0.4256,0.4014,0.3592,0.3668,0.3515,0.331,0.341,0.3322,0.3289,0.3192,0.3027,0.3006,0.2997,0.2962,0.2988,0.2862,0.2948,0.2878,0.29,0.2886,0.2909,0.2936,0.2851,0.2874,0.2845
6.614740641230159e-08,0.6456,0.6354,0.6468,0.6464,0.6464,0.6564,0.6377,0.6488,0.6456,0.6477,0.6477,0.6468,0.6456,0.6456,0.6236,0.4874,0.416,0.3807,0.3653,0.3587,0.3531,0.3328,0.3358,0.3315,0.3202,0.315,0.3094,0.3017,0.2941,0.2978,0.2922,0.2945,0.2881,0.2872,0.2857,0.2894,0.2883,0.285,0.2903,0.2888
3.665241237079634e-08,0.6488,0.6412,0.6472,0.6412,0.652,0.6468,0.652,0.6488,0.6464,0.6412,0.652,0.6539,0.6455,0.6488,0.6532,0.5823,0.4665,0.4084,0.3829,0.3601,0.3465,0.3433,0.3343,0.3354,0.3217,0.319,0.3116,0.3054,0.2993,0.3005,0.2938,0.2971,0.2911,0.2876,0.2877,0.2833,0.2885,0.2902,0.2828,0.2889
2.030917620904739e-08,0.6472,0.6437,0.6496,0.6412,0.6459,0.6496,0.6505,0.6459,0.6539,0.6459,0.652,0.6455,0.6505,0.6459,0.6416,0.6433,0.5565,0.4387,0.4022,0.3693,0.3523,0.3501,0.339,0.3308,0.3253,0.3167,0.3154,0.3079,0.305,0.2959,0.2929,0.295,0.2871,0.289,0.288,0.2895,0.2816,0.2856,0.288,0.2806
1.125335582600767e-08,0.6459,0.6396,0.6496,0.6505,0.6505,0.648,0.648,0.6396,0.6459,0.6478,0.6416,0.6416,0.648,0.6478,0.6478,0.6477,0.6347,0.5004,0.4304,0.3882,0.3679,0.3537,0.3428,0.3396,0.3286,0.3246,0.3149,0.3092,0.3044,0.3043,0.3009,0.2909,0.2936,0.2919,0.2912,0.29,0.2861,0.287,0.2867,0.2851
6.235507341273925e-09,0.6396,0.6501,0.6478,0.648,0.6478,0.6433,0.6461,0.6501,0.6501,0.6439,0.6478,0.6439,0.6461,0.6414,0.6501,0.6433,0.6427,0.6037,0.4828,0.4112,0.3852,0.36,0.3534,0.3476,0.3388,0.3313,0.3233,0.3187,0.3138,0.3126,0.3054,0.2957,0.2918,0.3021,0.2906,0.2972,0.2928,0.2857,0.2821,0.2907
3.4551072945922323e-09,0.6484,0.6433,0.6501,0.6433,0.6469,0.6517,0.6414,0.6458,0.6433,0.6484,0.6414,0.6458,0.6484,0.6517,0.6469,0.6458,0.6414,0.6425,0.5836,0.4499,0.3964,0.3762,0.3504,0.3461,0.336,0.3235,0.3328,0.3201,0.3076,0.3084,0.3119,0.2909,0.3026,0.2989,0.2893,0.2774,0.2933,0.2773,0.2832,0.2902
1.9144819761699614e-09,0.6469,0.6437,0.6458,0.6458,0.6506,0.6511,0.6437,0.6458,0.6458,0.6458,0.6511,0.6494,0.6494,0.6506,0.6511,0.6437,0.6437,0.6436,0.6442,0.5271,0.4311,0.392,0.3709,0.3512,0.34,0.3328,0.3314,0.3246,0.3193,0.3212,0.3079,0.3092,0.305,0.3014,0.3001,0.3002,0.2986,0.2858,0.2936,0.2818
1.0608183551394483e-09,0.6494,0.6494,0.6473,0.649,0.6444,0.6444,0.649,0.6504,0.6504,0.6473,0.6568,0.6473,0.6473,0.6444,0.6568,0.649,0.649,0.6504,0.6462,0.621,0.4891,0.4162,0.3825,0.3695,0.357,0.3456,0.3435,0.3311,0.3262,0.327,0.3175,0.3082,0.3028,0.3031,0.2959,0.2954,0.2938,0.2903,0.2878,0.2938
5.878016072274924e-10,0.6456,0.6462,0.6451,0.6557,0.6462,0.6456,0.6462,0.6568,0.6465,0.6451,0.6451,0.6456,0.6557,0.6557,0.6456,0.6462,0.6532,0.6465,0.6465,0.6543,0.5684,0.4626,0.4062,0.3831,0.3582,0.3481,0.3408,0.3328,0.329,0.3219,0.3124,0.313,0.3126,0.3014,0.2973,0.2955,0.2847,0.2826,0.2896,0.2819
3.2570206556597964e-10,0.6476,0.6401,0.6401,0.6511,0.6476,0.6532,0.6367,0.6476,0.6367,0.6453,0.6532,0.6511,0.6465,0.6367,0.6401,0.6511,0.6401,0.6506,0.6367,0.6453,0.6443,0.5455,0.4378,0.3941,0.3728,0.364,0.3536,0.3395,0.3319,0.3276,0.3171,0.3146,0.3065,0.2998,0.3021,0.3049,0.2997,0.2893,0.2844,0.2966
1.8047217668271738e-10,0.6453,0.6412,0.6511,0.6506,0.6395,0.6452,0.6476,0.6453,0.6453,0.6425,0.6506,0.6412,0.6395,0.6532,0.6511,0.6506,0.6506,0.6395,0.6425,0.6452,0.641,0.6262,0.4936,0.4297,0.392,0.3604,0.3501,0.3464,0.337,0.3375,0.3242,0.3148,0.3074,0.3064,0.2983,0.3027,0.3013,0.2947,0.2994,0.2835
1e-10,0.6412,0.6532,0.6452,0.6452,0.6542,0.647,0.647,0.6408,0.6532,0.6532,0.6395,0.6458,0.6452,0.6542,0.6542,0.6458,0.647,0.647,0.6412,0.6408,0.6532,0.6449,0.5893,0.4842,0.4145,0.3831,0.361,0.353,0.3489,0.3297,0.3241,0.322,0.3222,0.3157,0.3127,0.3053,0.3051,0.2939,0.2914,0.2931
1 20 25 30 34 39 43 48 53 57 62 66 71 76 80 85 90 94 99 103 108 113 117 122 126 131 136 140 145 149 154 159 163 168 172 177 182 186 191 195 200
2 1.0 0.6953 0.6953 0.6953 0.6953 0.6953 0.6953 0.6953 0.6953 0.7073 0.7073 0.7073 0.7073 0.7073 0.7073 0.7073 0.7073 0.6952 0.6952 0.6952 0.6952 0.6952 0.6952 0.6952 0.6952 0.6933 0.6933 0.6933 0.6933 0.6933 0.6933 0.6933 0.6933 0.695 0.695 0.695 0.695 0.695 0.695 0.695 0.695
3 0.5541020330009492 0.4815 0.4806 0.4798 0.4752 0.4791 0.4741 0.4784 0.4738 0.4916 0.4779 0.4732 0.4777 0.4911 0.4775 0.473 0.4908 0.4758 0.4728 0.4906 0.4726 0.4753 0.4726 0.4904 0.4751 0.4777 0.4902 0.475 0.4902 0.4773 0.49 0.475 0.4771 0.4837 0.4747 0.4771 0.4744 0.4835 0.4744 0.477 0.4835
4 0.30702906297578497 0.4121 0.3917 0.3922 0.3851 0.3765 0.382 0.3819 0.3808 0.3696 0.3757 0.3773 0.3767 0.3778 0.3776 0.3716 0.3715 0.3754 0.3632 0.3762 0.376 0.3705 0.3705 0.3728 0.3726 0.3756 0.3689 0.37 0.3699 0.3723 0.3723 0.3618 0.3617 0.3697 0.3745 0.3722 0.3722 0.3613 0.3611 0.3676 0.3676
5 0.17012542798525893 0.364 0.3221 0.3044 0.2913 0.2795 0.278 0.2714 0.2673 0.2669 0.2599 0.2582 0.2558 0.2582 0.2566 0.2552 0.2474 0.2471 0.2512 0.2501 0.2496 0.2433 0.2428 0.2421 0.2404 0.2439 0.2404 0.2402 0.2398 0.2422 0.2418 0.2413 0.2379 0.238 0.2407 0.2407 0.2405 0.237 0.2369 0.2369 0.2401
6 0.09426684551178854 0.3698 0.3265 0.3003 0.286 0.2702 0.2678 0.2551 0.2508 0.2476 0.2434 0.2414 0.2423 0.2367 0.2407 0.2341 0.233 0.2319 0.2314 0.2307 0.2297 0.2345 0.231 0.2336 0.2333 0.2332 0.233 0.2329 0.2278 0.2286 0.2265 0.2281 0.228 0.228 0.2278 0.2278 0.2266 0.2258 0.2265 0.2257 0.2256
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21 1.3433993325989015e-05 0.6321 0.6508 0.6321 0.6508 0.6508 0.6368 0.6368 0.649 0.6027 0.4582 0.4083 0.3799 0.3477 0.3555 0.3451 0.3341 0.3299 0.3266 0.3205 0.3155 0.311 0.3062 0.3013 0.2965 0.2939 0.2918 0.2915 0.29 0.2855 0.2895 0.2885 0.2893 0.2884 0.2889 0.2768 0.2888 0.2878 0.2767 0.2884 0.2767
22 7.443803013251696e-06 0.6463 0.641 0.6493 0.641 0.641 0.642 0.6493 0.6493 0.6449 0.5354 0.4455 0.3937 0.3681 0.3619 0.3411 0.332 0.3262 0.3263 0.3264 0.3079 0.3033 0.2955 0.3023 0.2986 0.2942 0.2816 0.2877 0.287 0.2858 0.2888 0.285 0.2846 0.2845 0.2844 0.2783 0.2844 0.2843 0.2753 0.2779 0.2778
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0.008886238162743407,0.1782,0.1068,0.0843,0.0655,0.0594,0.0572,0.0613,0.0591,0.0512,0.0562,0.0495,0.0543,0.0529,0.0527,0.0495,0.0492,0.0476,0.048,0.0454,0.0463,0.0453,0.0429,0.0442,0.0425,0.0435,0.0421,0.0428,0.0413,0.0412,0.0421,0.041,0.0416,0.0405,0.0415,0.0403,0.0414,0.0414,0.041,0.0414,0.041
0.004923882631706742,0.2446,0.1451,0.0944,0.0793,0.0682,0.0655,0.0599,0.0576,0.0591,0.0578,0.0537,0.0569,0.0556,0.0514,0.0533,0.0522,0.0465,0.0449,0.0466,0.0426,0.0419,0.0432,0.0413,0.0407,0.0424,0.0421,0.04,0.0417,0.0417,0.0396,0.0413,0.0412,0.0392,0.0391,0.0409,0.0389,0.0388,0.0378,0.0386,0.0386
0.0027283333764867696,0.313,0.2033,0.1162,0.0866,0.071,0.0694,0.0592,0.0571,0.06,0.0587,0.0541,0.0568,0.0553,0.0567,0.0534,0.0514,0.0533,0.0511,0.0462,0.0488,0.0447,0.0459,0.0445,0.0435,0.0411,0.0408,0.0416,0.04,0.0396,0.0394,0.039,0.0389,0.0389,0.0385,0.0383,0.0379,0.0344,0.0378,0.0375,0.0375
0.001511775070615663,0.3381,0.271,0.1582,0.1056,0.0825,0.0689,0.0624,0.0579,0.0612,0.0539,0.0573,0.0558,0.0557,0.0538,0.0523,0.0511,0.0504,0.0484,0.0454,0.0435,0.0434,0.0416,0.0406,0.0398,0.0395,0.038,0.0384,0.0379,0.0381,0.0376,0.0376,0.0375,0.0377,0.0375,0.0375,0.0375,0.0347,0.0373,0.0373,0.0373
0.0008376776400682924,0.3664,0.3295,0.2355,0.1455,0.0952,0.0773,0.067,0.0624,0.0599,0.0568,0.0571,0.0563,0.0554,0.0542,0.0527,0.0525,0.0505,0.0483,0.046,0.0431,0.0457,0.039,0.0375,0.0415,0.0351,0.0343,0.0394,0.0388,0.0389,0.0388,0.0387,0.0387,0.0385,0.0385,0.0386,0.0386,0.0375,0.0386,0.0386,0.0375
0.0004641588833612782,0.3659,0.3546,0.2982,0.2107,0.1236,0.0941,0.0768,0.0687,0.0618,0.0631,0.0566,0.0557,0.0548,0.0542,0.0531,0.0523,0.05,0.0496,0.0461,0.0436,0.0412,0.0398,0.0384,0.0375,0.0373,0.0361,0.0367,0.036,0.0364,0.0357,0.0357,0.0357,0.036,0.0356,0.0359,0.0359,0.0381,0.0358,0.0358,0.0358
0.0002571913809059347,0.369,0.3678,0.3429,0.2884,0.1709,0.1195,0.0808,0.0731,0.0683,0.0639,0.0582,0.0564,0.0617,0.0542,0.0591,0.0525,0.0514,0.0504,0.0548,0.0527,0.047,0.0474,0.0445,0.0407,0.0422,0.0417,0.0381,0.0376,0.0369,0.0371,0.0368,0.0365,0.0364,0.0364,0.0363,0.0363,0.0373,0.0363,0.0363,0.0373
0.00014251026703029993,0.3616,0.3606,0.3591,0.3321,0.2423,0.1587,0.1028,0.079,0.0683,0.0638,0.0609,0.0584,0.0538,0.0559,0.0551,0.0541,0.0484,0.052,0.046,0.0446,0.043,0.039,0.0371,0.0355,0.0362,0.0336,0.035,0.0343,0.0386,0.0336,0.0334,0.0334,0.0377,0.0334,0.0377,0.0377,0.0388,0.0377,0.0377,0.0377
7.896522868499733e-05,0.3697,0.3684,0.3663,0.3563,0.3139,0.2306,0.1347,0.0924,0.0799,0.0713,0.0657,0.0629,0.0554,0.0595,0.058,0.052,0.0556,0.0544,0.0497,0.0484,0.0494,0.0434,0.0409,0.0433,0.039,0.0378,0.0408,0.0405,0.038,0.0403,0.0403,0.0375,0.0399,0.0398,0.0373,0.0373,0.0381,0.037,0.037,0.038
4.375479375074189e-05,0.366,0.3659,0.3725,0.3695,0.3406,0.2988,0.183,0.1154,0.0888,0.0701,0.0643,0.0604,0.062,0.0576,0.0558,0.0546,0.0541,0.0551,0.0546,0.0529,0.0533,0.049,0.0473,0.0453,0.0432,0.0426,0.0419,0.0413,0.0372,0.0404,0.0401,0.04,0.0399,0.0364,0.0364,0.0364,0.0371,0.0364,0.0363,0.0362
2.424462017082331e-05,0.3705,0.3675,0.3672,0.3657,0.3667,0.3382,0.2612,0.1577,0.1048,0.0797,0.0705,0.0639,0.0612,0.0584,0.0572,0.0567,0.0556,0.0549,0.0543,0.0529,0.0489,0.0495,0.0466,0.0415,0.0414,0.0399,0.0376,0.0365,0.0372,0.0361,0.0358,0.0365,0.0357,0.0356,0.036,0.0359,0.0382,0.0357,0.0381,0.0357
1.3433993325989015e-05,0.3816,0.3816,0.372,0.3716,0.3644,0.362,0.323,0.2209,0.1408,0.0949,0.0782,0.0674,0.0627,0.0602,0.0583,0.057,0.0565,0.055,0.0549,0.0538,0.051,0.0509,0.0491,0.0463,0.0424,0.0409,0.0393,0.0384,0.0382,0.0373,0.0369,0.0365,0.0371,0.0364,0.0368,0.0367,0.0374,0.0366,0.0366,0.0366
7.443803013251696e-06,0.3711,0.3715,0.3711,0.3709,0.3568,0.3552,0.3523,0.2935,0.204,0.1178,0.0899,0.0735,0.0663,0.0631,0.0587,0.0562,0.0554,0.054,0.056,0.054,0.0542,0.0525,0.0518,0.0495,0.0466,0.0431,0.0417,0.0431,0.0393,0.042,0.0383,0.0378,0.0377,0.0376,0.041,0.0359,0.041,0.0357,0.0408,0.0408
4.124626382901356e-06,0.3753,0.3753,0.3731,0.3643,0.3729,0.372,0.3591,0.3393,0.2802,0.1705,0.1105,0.0841,0.0671,0.0626,0.062,0.0567,0.0555,0.0541,0.0566,0.0556,0.0549,0.054,0.0517,0.0503,0.0477,0.0449,0.0439,0.0411,0.0419,0.0413,0.0383,0.0405,0.0401,0.04,0.0377,0.039,0.0375,0.0375,0.0389,0.0375
2.285463864134993e-06,0.3664,0.3664,0.3642,0.3713,0.3641,0.3638,0.362,0.3532,0.3327,0.2397,0.1529,0.0997,0.0757,0.0689,0.063,0.0595,0.0609,0.0569,0.0579,0.0542,0.0552,0.0536,0.0518,0.05,0.0471,0.0456,0.0422,0.0424,0.0391,0.0377,0.0367,0.0364,0.0386,0.0359,0.038,0.0339,0.0375,0.0375,0.0375,0.0375
1.2663801734674047e-06,0.3656,0.3733,0.3656,0.3655,0.3656,0.3654,0.3648,0.3618,0.3498,0.3003,0.2177,0.1272,0.088,0.074,0.0664,0.0626,0.0597,0.0579,0.0561,0.0616,0.0545,0.06,0.0519,0.0505,0.0492,0.0464,0.0498,0.0452,0.0453,0.0416,0.0425,0.0416,0.0412,0.0408,0.0381,0.0342,0.0378,0.0339,0.0377,0.0376
7.017038286703837e-07,0.3719,0.3719,0.3696,0.364,0.3696,0.364,0.3696,0.3689,0.3653,0.3437,0.285,0.1801,0.1077,0.0864,0.0692,0.0618,0.0596,0.0569,0.0595,0.0554,0.058,0.0538,0.0569,0.055,0.0533,0.0523,0.0448,0.0446,0.0391,0.0401,0.0361,0.0353,0.035,0.0344,0.036,0.0362,0.0357,0.0358,0.0355,0.0355
3.8881551803080935e-07,0.3675,0.3675,0.3628,0.3563,0.3563,0.3563,0.3628,0.356,0.3545,0.3475,0.3357,0.2498,0.149,0.0995,0.0824,0.0683,0.0639,0.0608,0.0617,0.0593,0.0582,0.0575,0.0561,0.0555,0.0542,0.0523,0.0495,0.0469,0.0444,0.0417,0.0408,0.0388,0.0378,0.0373,0.0367,0.0375,0.0373,0.0373,0.0361,0.037
2.1544346900318867e-07,0.3636,0.3636,0.3685,0.3703,0.3703,0.3703,0.3703,0.3702,0.3682,0.3673,0.3524,0.314,0.2129,0.136,0.0911,0.073,0.0674,0.0613,0.0617,0.0579,0.0564,0.0553,0.0543,0.0538,0.054,0.0515,0.0467,0.048,0.0454,0.0426,0.0412,0.0396,0.0352,0.0383,0.0384,0.0339,0.0338,0.0336,0.0336,0.0335
1.193776641714438e-07,0.3645,0.369,0.3728,0.3645,0.3645,0.3645,0.3728,0.3645,0.3644,0.3638,0.3684,0.3516,0.2888,0.1994,0.1236,0.0863,0.0751,0.0695,0.0665,0.0666,0.0648,0.0638,0.0601,0.0609,0.0598,0.0591,0.0546,0.0526,0.0507,0.0472,0.0448,0.0423,0.041,0.0403,0.036,0.0391,0.0387,0.0383,0.0353,0.0382
6.614740641230159e-08,0.3604,0.3604,0.3805,0.3579,0.3579,0.3579,0.3579,0.3579,0.3805,0.3696,0.3571,0.3742,0.3464,0.2819,0.1711,0.1073,0.0847,0.0683,0.0675,0.0647,0.0609,0.0602,0.0588,0.0581,0.0521,0.049,0.0543,0.0496,0.0471,0.044,0.0411,0.04,0.0374,0.0423,0.0368,0.035,0.0346,0.0341,0.0339,0.0339
3.665241237079634e-08,0.3704,0.3696,0.3703,0.3704,0.3696,0.3659,0.3704,0.3704,0.3703,0.37,0.3696,0.3671,0.3531,0.3211,0.2317,0.1346,0.0997,0.0779,0.0706,0.0642,0.0614,0.0597,0.059,0.0571,0.056,0.0547,0.0538,0.0536,0.0523,0.0496,0.0472,0.0444,0.0424,0.0412,0.0404,0.0394,0.0395,0.0393,0.0381,0.0379
2.030917620904739e-08,0.3754,0.3754,0.3754,0.375,0.375,0.3745,0.3725,0.375,0.375,0.375,0.375,0.374,0.37,0.3565,0.2969,0.1882,0.1231,0.0885,0.076,0.0647,0.0601,0.0636,0.0578,0.0552,0.0539,0.0528,0.0526,0.0573,0.0562,0.0504,0.0492,0.0493,0.047,0.045,0.044,0.0377,0.0373,0.0377,0.0333,0.0361
1.125335582600767e-08,0.362,0.362,0.362,0.3696,0.3696,0.3696,0.3627,0.3677,0.3696,0.3696,0.3696,0.3627,0.3618,0.3586,0.3381,0.2682,0.1667,0.1002,0.0778,0.0656,0.0589,0.0564,0.0625,0.0585,0.0524,0.0513,0.0508,0.0578,0.0563,0.0544,0.0489,0.0489,0.0453,0.0438,0.0421,0.0378,0.0368,0.036,0.0362,0.0384
6.235507341273925e-09,0.3652,0.3652,0.3652,0.3705,0.3705,0.3705,0.3705,0.3705,0.372,0.3748,0.3705,0.372,0.3717,0.3698,0.3615,0.3229,0.2541,0.1506,0.1033,0.0756,0.0668,0.0626,0.0598,0.0581,0.0624,0.0608,0.0553,0.0585,0.0576,0.056,0.0544,0.0529,0.0459,0.0479,0.0451,0.0434,0.0425,0.0417,0.0413,0.041
3.4551072945922323e-09,0.3706,0.3613,0.3729,0.3613,0.3613,0.3592,0.3613,0.3706,0.3613,0.3613,0.3613,0.3706,0.3705,0.3576,0.3681,0.3426,0.3134,0.2134,0.1403,0.0901,0.0729,0.0694,0.0613,0.0591,0.0578,0.0566,0.0559,0.0533,0.0529,0.0564,0.0511,0.0498,0.0478,0.0448,0.0414,0.0398,0.0385,0.0372,0.0368,0.0402
1.9144819761699614e-09,0.3662,0.3662,0.3662,0.3722,0.3722,0.3722,0.3694,0.3722,0.3722,0.3722,0.3757,0.3757,0.3757,0.3757,0.3578,0.3706,0.3516,0.2844,0.1876,0.1143,0.0829,0.07,0.068,0.0601,0.0572,0.0552,0.06,0.0588,0.0578,0.0568,0.053,0.0546,0.0528,0.0505,0.047,0.0451,0.0436,0.0428,0.0396,0.0417
1.0608183551394483e-09,0.3691,0.3691,0.3596,0.3596,0.3596,0.3596,0.3606,0.3596,0.3596,0.3596,0.3772,0.3772,0.3772,0.3771,0.3659,0.3752,0.3692,0.3375,0.2604,0.147,0.0977,0.0792,0.0675,0.0641,0.0612,0.0594,0.0606,0.0591,0.0584,0.0572,0.0528,0.0549,0.0527,0.0508,0.0434,0.0407,0.0383,0.0367,0.0395,0.0348
5.878016072274924e-10,0.3783,0.3783,0.3678,0.3678,0.3678,0.3678,0.3678,0.3678,0.376,0.3616,0.3678,0.376,0.376,0.3759,0.3759,0.3756,0.3587,0.3559,0.327,0.2175,0.1291,0.0935,0.0743,0.0678,0.0661,0.0608,0.059,0.0591,0.0575,0.0565,0.0552,0.0539,0.053,0.0538,0.049,0.0472,0.0446,0.0422,0.0405,0.0398
3.2570206556597964e-10,0.3699,0.3739,0.3713,0.3699,0.3739,0.3699,0.3699,0.3655,0.3699,0.3699,0.3699,0.3739,0.3655,0.3739,0.3738,0.3691,0.373,0.37,0.3553,0.2837,0.1864,0.1188,0.0854,0.0722,0.0672,0.0629,0.0611,0.0635,0.0549,0.0611,0.0595,0.0543,0.0579,0.0565,0.0545,0.0449,0.0442,0.0409,0.0393,0.0391
1.8047217668271738e-10,0.3678,0.3678,0.3678,0.3702,0.3702,0.3718,0.3702,0.3702,0.3702,0.3596,0.3702,0.3718,0.3718,0.3596,0.3717,0.3717,0.3717,0.3692,0.3654,0.328,0.2519,0.1676,0.1009,0.0816,0.0677,0.0663,0.0591,0.0593,0.0577,0.0585,0.0555,0.055,0.0538,0.0499,0.0513,0.0505,0.0485,0.0424,0.0427,0.0415
1e-10,0.37,0.368,0.37,0.368,0.368,0.368,0.3687,0.368,0.368,0.368,0.368,0.368,0.368,0.368,0.3637,0.3687,0.368,0.3677,0.366,0.3578,0.3153,0.2395,0.138,0.0926,0.0746,0.0664,0.062,0.0554,0.0534,0.0516,0.0535,0.054,0.0487,0.0479,0.0469,0.0484,0.0463,0.0436,0.0455,0.0385
1 20 25 30 34 39 43 48 53 57 62 66 71 76 80 85 90 94 99 103 108 113 117 122 126 131 136 140 145 149 154 159 163 168 172 177 182 186 191 195 200
2 1.0 0.4282 0.4282 0.4282 0.4282 0.4282 0.4282 0.4282 0.4282 0.4394 0.4394 0.4394 0.4394 0.4394 0.4394 0.4394 0.4394 0.4386 0.4386 0.4386 0.4386 0.4386 0.4386 0.4386 0.4386 0.4389 0.4389 0.4389 0.4389 0.4389 0.4389 0.4389 0.4389 0.4379 0.4379 0.4379 0.4379 0.4379 0.4379 0.4379 0.4379
3 0.5541020330009492 0.1987 0.1987 0.1987 0.1987 0.1987 0.1987 0.1987 0.1955 0.1987 0.1955 0.1955 0.1955 0.1955 0.1955 0.1955 0.1898 0.1955 0.1898 0.1898 0.1898 0.1898 0.1898 0.1898 0.1965 0.1898 0.1965 0.1965 0.1965 0.1965 0.1965 0.1965 0.1858 0.1965 0.1858 0.1858 0.1858 0.1858 0.1858 0.1858 0.2003
4 0.30702906297578497 0.1296 0.142 0.1403 0.1396 0.1392 0.1385 0.138 0.1375 0.131 0.1308 0.1307 0.1307 0.1306 0.1306 0.1306 0.1305 0.1286 0.1282 0.1282 0.128 0.128 0.1279 0.1279 0.1279 0.1343 0.1343 0.1343 0.1343 0.1343 0.1343 0.1343 0.1343 0.131 0.1309 0.1309 0.1309 0.1309 0.1309 0.1309 0.1309
5 0.17012542798525893 0.1015 0.0914 0.0858 0.081 0.0784 0.0769 0.0757 0.0764 0.0741 0.0747 0.0742 0.0735 0.0731 0.0727 0.0725 0.0711 0.072 0.0706 0.0705 0.0702 0.0701 0.0701 0.0701 0.0696 0.0699 0.0694 0.0691 0.0691 0.0691 0.0691 0.0689 0.0739 0.0688 0.0737 0.0737 0.0737 0.0737 0.0737 0.0735 0.0648
6 0.09426684551178854 0.0994 0.0745 0.0687 0.065 0.0626 0.0612 0.0603 0.0591 0.0609 0.0599 0.0592 0.0583 0.0578 0.0574 0.0569 0.0566 0.0608 0.0606 0.0605 0.0604 0.0601 0.0601 0.0601 0.06 0.0595 0.0594 0.0593 0.0592 0.0592 0.0592 0.0591 0.059 0.0622 0.0621 0.0619 0.0619 0.0617 0.0617 0.0617 0.0617
7 0.052233450742668434 0.0936 0.0765 0.0678 0.0638 0.0602 0.0593 0.0569 0.0617 0.0549 0.06 0.0594 0.0586 0.0577 0.0573 0.0565 0.0548 0.0557 0.0542 0.0542 0.0538 0.0534 0.0534 0.0532 0.0507 0.0531 0.0507 0.0505 0.0504 0.0504 0.0502 0.0499 0.0499 0.0548 0.0548 0.0548 0.0547 0.0547 0.0545 0.0545 0.0545
8 0.028942661247167517 0.1036 0.0789 0.0694 0.0646 0.06 0.0581 0.0561 0.0565 0.0525 0.0542 0.0538 0.0527 0.0519 0.0515 0.0507 0.0528 0.0499 0.052 0.0518 0.0517 0.0513 0.0509 0.0508 0.0497 0.0502 0.0497 0.0495 0.0493 0.049 0.0488 0.0486 0.0494 0.0485 0.0493 0.0493 0.0491 0.0491 0.0491 0.049 0.049
9 0.016037187437513308 0.1348 0.0951 0.0775 0.0718 0.066 0.0604 0.0629 0.0577 0.0605 0.0566 0.0585 0.0544 0.0529 0.0541 0.0529 0.0504 0.0518 0.0489 0.0485 0.0502 0.0459 0.0494 0.0456 0.049 0.0489 0.0451 0.0483 0.0447 0.0447 0.0445 0.0461 0.0441 0.046 0.0459 0.0437 0.0458 0.0457 0.0456 0.0405 0.0454
10 0.008886238162743407 0.1782 0.1068 0.0843 0.0655 0.0594 0.0572 0.0613 0.0591 0.0512 0.0562 0.0495 0.0543 0.0529 0.0527 0.0495 0.0492 0.0476 0.048 0.0454 0.0463 0.0453 0.0429 0.0442 0.0425 0.0435 0.0421 0.0428 0.0413 0.0412 0.0421 0.041 0.0416 0.0405 0.0415 0.0403 0.0414 0.0414 0.041 0.0414 0.041
11 0.004923882631706742 0.2446 0.1451 0.0944 0.0793 0.0682 0.0655 0.0599 0.0576 0.0591 0.0578 0.0537 0.0569 0.0556 0.0514 0.0533 0.0522 0.0465 0.0449 0.0466 0.0426 0.0419 0.0432 0.0413 0.0407 0.0424 0.0421 0.04 0.0417 0.0417 0.0396 0.0413 0.0412 0.0392 0.0391 0.0409 0.0389 0.0388 0.0378 0.0386 0.0386
12 0.0027283333764867696 0.313 0.2033 0.1162 0.0866 0.071 0.0694 0.0592 0.0571 0.06 0.0587 0.0541 0.0568 0.0553 0.0567 0.0534 0.0514 0.0533 0.0511 0.0462 0.0488 0.0447 0.0459 0.0445 0.0435 0.0411 0.0408 0.0416 0.04 0.0396 0.0394 0.039 0.0389 0.0389 0.0385 0.0383 0.0379 0.0344 0.0378 0.0375 0.0375
13 0.001511775070615663 0.3381 0.271 0.1582 0.1056 0.0825 0.0689 0.0624 0.0579 0.0612 0.0539 0.0573 0.0558 0.0557 0.0538 0.0523 0.0511 0.0504 0.0484 0.0454 0.0435 0.0434 0.0416 0.0406 0.0398 0.0395 0.038 0.0384 0.0379 0.0381 0.0376 0.0376 0.0375 0.0377 0.0375 0.0375 0.0375 0.0347 0.0373 0.0373 0.0373
14 0.0008376776400682924 0.3664 0.3295 0.2355 0.1455 0.0952 0.0773 0.067 0.0624 0.0599 0.0568 0.0571 0.0563 0.0554 0.0542 0.0527 0.0525 0.0505 0.0483 0.046 0.0431 0.0457 0.039 0.0375 0.0415 0.0351 0.0343 0.0394 0.0388 0.0389 0.0388 0.0387 0.0387 0.0385 0.0385 0.0386 0.0386 0.0375 0.0386 0.0386 0.0375
15 0.0004641588833612782 0.3659 0.3546 0.2982 0.2107 0.1236 0.0941 0.0768 0.0687 0.0618 0.0631 0.0566 0.0557 0.0548 0.0542 0.0531 0.0523 0.05 0.0496 0.0461 0.0436 0.0412 0.0398 0.0384 0.0375 0.0373 0.0361 0.0367 0.036 0.0364 0.0357 0.0357 0.0357 0.036 0.0356 0.0359 0.0359 0.0381 0.0358 0.0358 0.0358
16 0.0002571913809059347 0.369 0.3678 0.3429 0.2884 0.1709 0.1195 0.0808 0.0731 0.0683 0.0639 0.0582 0.0564 0.0617 0.0542 0.0591 0.0525 0.0514 0.0504 0.0548 0.0527 0.047 0.0474 0.0445 0.0407 0.0422 0.0417 0.0381 0.0376 0.0369 0.0371 0.0368 0.0365 0.0364 0.0364 0.0363 0.0363 0.0373 0.0363 0.0363 0.0373
17 0.00014251026703029993 0.3616 0.3606 0.3591 0.3321 0.2423 0.1587 0.1028 0.079 0.0683 0.0638 0.0609 0.0584 0.0538 0.0559 0.0551 0.0541 0.0484 0.052 0.046 0.0446 0.043 0.039 0.0371 0.0355 0.0362 0.0336 0.035 0.0343 0.0386 0.0336 0.0334 0.0334 0.0377 0.0334 0.0377 0.0377 0.0388 0.0377 0.0377 0.0377
18 7.896522868499733e-05 0.3697 0.3684 0.3663 0.3563 0.3139 0.2306 0.1347 0.0924 0.0799 0.0713 0.0657 0.0629 0.0554 0.0595 0.058 0.052 0.0556 0.0544 0.0497 0.0484 0.0494 0.0434 0.0409 0.0433 0.039 0.0378 0.0408 0.0405 0.038 0.0403 0.0403 0.0375 0.0399 0.0398 0.0373 0.0373 0.0381 0.037 0.037 0.038
19 4.375479375074189e-05 0.366 0.3659 0.3725 0.3695 0.3406 0.2988 0.183 0.1154 0.0888 0.0701 0.0643 0.0604 0.062 0.0576 0.0558 0.0546 0.0541 0.0551 0.0546 0.0529 0.0533 0.049 0.0473 0.0453 0.0432 0.0426 0.0419 0.0413 0.0372 0.0404 0.0401 0.04 0.0399 0.0364 0.0364 0.0364 0.0371 0.0364 0.0363 0.0362
20 2.424462017082331e-05 0.3705 0.3675 0.3672 0.3657 0.3667 0.3382 0.2612 0.1577 0.1048 0.0797 0.0705 0.0639 0.0612 0.0584 0.0572 0.0567 0.0556 0.0549 0.0543 0.0529 0.0489 0.0495 0.0466 0.0415 0.0414 0.0399 0.0376 0.0365 0.0372 0.0361 0.0358 0.0365 0.0357 0.0356 0.036 0.0359 0.0382 0.0357 0.0381 0.0357
21 1.3433993325989015e-05 0.3816 0.3816 0.372 0.3716 0.3644 0.362 0.323 0.2209 0.1408 0.0949 0.0782 0.0674 0.0627 0.0602 0.0583 0.057 0.0565 0.055 0.0549 0.0538 0.051 0.0509 0.0491 0.0463 0.0424 0.0409 0.0393 0.0384 0.0382 0.0373 0.0369 0.0365 0.0371 0.0364 0.0368 0.0367 0.0374 0.0366 0.0366 0.0366
22 7.443803013251696e-06 0.3711 0.3715 0.3711 0.3709 0.3568 0.3552 0.3523 0.2935 0.204 0.1178 0.0899 0.0735 0.0663 0.0631 0.0587 0.0562 0.0554 0.054 0.056 0.054 0.0542 0.0525 0.0518 0.0495 0.0466 0.0431 0.0417 0.0431 0.0393 0.042 0.0383 0.0378 0.0377 0.0376 0.041 0.0359 0.041 0.0357 0.0408 0.0408
23 4.124626382901356e-06 0.3753 0.3753 0.3731 0.3643 0.3729 0.372 0.3591 0.3393 0.2802 0.1705 0.1105 0.0841 0.0671 0.0626 0.062 0.0567 0.0555 0.0541 0.0566 0.0556 0.0549 0.054 0.0517 0.0503 0.0477 0.0449 0.0439 0.0411 0.0419 0.0413 0.0383 0.0405 0.0401 0.04 0.0377 0.039 0.0375 0.0375 0.0389 0.0375
24 2.285463864134993e-06 0.3664 0.3664 0.3642 0.3713 0.3641 0.3638 0.362 0.3532 0.3327 0.2397 0.1529 0.0997 0.0757 0.0689 0.063 0.0595 0.0609 0.0569 0.0579 0.0542 0.0552 0.0536 0.0518 0.05 0.0471 0.0456 0.0422 0.0424 0.0391 0.0377 0.0367 0.0364 0.0386 0.0359 0.038 0.0339 0.0375 0.0375 0.0375 0.0375
25 1.2663801734674047e-06 0.3656 0.3733 0.3656 0.3655 0.3656 0.3654 0.3648 0.3618 0.3498 0.3003 0.2177 0.1272 0.088 0.074 0.0664 0.0626 0.0597 0.0579 0.0561 0.0616 0.0545 0.06 0.0519 0.0505 0.0492 0.0464 0.0498 0.0452 0.0453 0.0416 0.0425 0.0416 0.0412 0.0408 0.0381 0.0342 0.0378 0.0339 0.0377 0.0376
26 7.017038286703837e-07 0.3719 0.3719 0.3696 0.364 0.3696 0.364 0.3696 0.3689 0.3653 0.3437 0.285 0.1801 0.1077 0.0864 0.0692 0.0618 0.0596 0.0569 0.0595 0.0554 0.058 0.0538 0.0569 0.055 0.0533 0.0523 0.0448 0.0446 0.0391 0.0401 0.0361 0.0353 0.035 0.0344 0.036 0.0362 0.0357 0.0358 0.0355 0.0355
27 3.8881551803080935e-07 0.3675 0.3675 0.3628 0.3563 0.3563 0.3563 0.3628 0.356 0.3545 0.3475 0.3357 0.2498 0.149 0.0995 0.0824 0.0683 0.0639 0.0608 0.0617 0.0593 0.0582 0.0575 0.0561 0.0555 0.0542 0.0523 0.0495 0.0469 0.0444 0.0417 0.0408 0.0388 0.0378 0.0373 0.0367 0.0375 0.0373 0.0373 0.0361 0.037
28 2.1544346900318867e-07 0.3636 0.3636 0.3685 0.3703 0.3703 0.3703 0.3703 0.3702 0.3682 0.3673 0.3524 0.314 0.2129 0.136 0.0911 0.073 0.0674 0.0613 0.0617 0.0579 0.0564 0.0553 0.0543 0.0538 0.054 0.0515 0.0467 0.048 0.0454 0.0426 0.0412 0.0396 0.0352 0.0383 0.0384 0.0339 0.0338 0.0336 0.0336 0.0335
29 1.193776641714438e-07 0.3645 0.369 0.3728 0.3645 0.3645 0.3645 0.3728 0.3645 0.3644 0.3638 0.3684 0.3516 0.2888 0.1994 0.1236 0.0863 0.0751 0.0695 0.0665 0.0666 0.0648 0.0638 0.0601 0.0609 0.0598 0.0591 0.0546 0.0526 0.0507 0.0472 0.0448 0.0423 0.041 0.0403 0.036 0.0391 0.0387 0.0383 0.0353 0.0382
30 6.614740641230159e-08 0.3604 0.3604 0.3805 0.3579 0.3579 0.3579 0.3579 0.3579 0.3805 0.3696 0.3571 0.3742 0.3464 0.2819 0.1711 0.1073 0.0847 0.0683 0.0675 0.0647 0.0609 0.0602 0.0588 0.0581 0.0521 0.049 0.0543 0.0496 0.0471 0.044 0.0411 0.04 0.0374 0.0423 0.0368 0.035 0.0346 0.0341 0.0339 0.0339
31 3.665241237079634e-08 0.3704 0.3696 0.3703 0.3704 0.3696 0.3659 0.3704 0.3704 0.3703 0.37 0.3696 0.3671 0.3531 0.3211 0.2317 0.1346 0.0997 0.0779 0.0706 0.0642 0.0614 0.0597 0.059 0.0571 0.056 0.0547 0.0538 0.0536 0.0523 0.0496 0.0472 0.0444 0.0424 0.0412 0.0404 0.0394 0.0395 0.0393 0.0381 0.0379
32 2.030917620904739e-08 0.3754 0.3754 0.3754 0.375 0.375 0.3745 0.3725 0.375 0.375 0.375 0.375 0.374 0.37 0.3565 0.2969 0.1882 0.1231 0.0885 0.076 0.0647 0.0601 0.0636 0.0578 0.0552 0.0539 0.0528 0.0526 0.0573 0.0562 0.0504 0.0492 0.0493 0.047 0.045 0.044 0.0377 0.0373 0.0377 0.0333 0.0361
33 1.125335582600767e-08 0.362 0.362 0.362 0.3696 0.3696 0.3696 0.3627 0.3677 0.3696 0.3696 0.3696 0.3627 0.3618 0.3586 0.3381 0.2682 0.1667 0.1002 0.0778 0.0656 0.0589 0.0564 0.0625 0.0585 0.0524 0.0513 0.0508 0.0578 0.0563 0.0544 0.0489 0.0489 0.0453 0.0438 0.0421 0.0378 0.0368 0.036 0.0362 0.0384
34 6.235507341273925e-09 0.3652 0.3652 0.3652 0.3705 0.3705 0.3705 0.3705 0.3705 0.372 0.3748 0.3705 0.372 0.3717 0.3698 0.3615 0.3229 0.2541 0.1506 0.1033 0.0756 0.0668 0.0626 0.0598 0.0581 0.0624 0.0608 0.0553 0.0585 0.0576 0.056 0.0544 0.0529 0.0459 0.0479 0.0451 0.0434 0.0425 0.0417 0.0413 0.041
35 3.4551072945922323e-09 0.3706 0.3613 0.3729 0.3613 0.3613 0.3592 0.3613 0.3706 0.3613 0.3613 0.3613 0.3706 0.3705 0.3576 0.3681 0.3426 0.3134 0.2134 0.1403 0.0901 0.0729 0.0694 0.0613 0.0591 0.0578 0.0566 0.0559 0.0533 0.0529 0.0564 0.0511 0.0498 0.0478 0.0448 0.0414 0.0398 0.0385 0.0372 0.0368 0.0402
36 1.9144819761699614e-09 0.3662 0.3662 0.3662 0.3722 0.3722 0.3722 0.3694 0.3722 0.3722 0.3722 0.3757 0.3757 0.3757 0.3757 0.3578 0.3706 0.3516 0.2844 0.1876 0.1143 0.0829 0.07 0.068 0.0601 0.0572 0.0552 0.06 0.0588 0.0578 0.0568 0.053 0.0546 0.0528 0.0505 0.047 0.0451 0.0436 0.0428 0.0396 0.0417
37 1.0608183551394483e-09 0.3691 0.3691 0.3596 0.3596 0.3596 0.3596 0.3606 0.3596 0.3596 0.3596 0.3772 0.3772 0.3772 0.3771 0.3659 0.3752 0.3692 0.3375 0.2604 0.147 0.0977 0.0792 0.0675 0.0641 0.0612 0.0594 0.0606 0.0591 0.0584 0.0572 0.0528 0.0549 0.0527 0.0508 0.0434 0.0407 0.0383 0.0367 0.0395 0.0348
38 5.878016072274924e-10 0.3783 0.3783 0.3678 0.3678 0.3678 0.3678 0.3678 0.3678 0.376 0.3616 0.3678 0.376 0.376 0.3759 0.3759 0.3756 0.3587 0.3559 0.327 0.2175 0.1291 0.0935 0.0743 0.0678 0.0661 0.0608 0.059 0.0591 0.0575 0.0565 0.0552 0.0539 0.053 0.0538 0.049 0.0472 0.0446 0.0422 0.0405 0.0398
39 3.2570206556597964e-10 0.3699 0.3739 0.3713 0.3699 0.3739 0.3699 0.3699 0.3655 0.3699 0.3699 0.3699 0.3739 0.3655 0.3739 0.3738 0.3691 0.373 0.37 0.3553 0.2837 0.1864 0.1188 0.0854 0.0722 0.0672 0.0629 0.0611 0.0635 0.0549 0.0611 0.0595 0.0543 0.0579 0.0565 0.0545 0.0449 0.0442 0.0409 0.0393 0.0391
40 1.8047217668271738e-10 0.3678 0.3678 0.3678 0.3702 0.3702 0.3718 0.3702 0.3702 0.3702 0.3596 0.3702 0.3718 0.3718 0.3596 0.3717 0.3717 0.3717 0.3692 0.3654 0.328 0.2519 0.1676 0.1009 0.0816 0.0677 0.0663 0.0591 0.0593 0.0577 0.0585 0.0555 0.055 0.0538 0.0499 0.0513 0.0505 0.0485 0.0424 0.0427 0.0415
41 1e-10 0.37 0.368 0.37 0.368 0.368 0.368 0.3687 0.368 0.368 0.368 0.368 0.368 0.368 0.368 0.3637 0.3687 0.368 0.3677 0.366 0.3578 0.3153 0.2395 0.138 0.0926 0.0746 0.0664 0.062 0.0554 0.0534 0.0516 0.0535 0.054 0.0487 0.0479 0.0469 0.0484 0.0463 0.0436 0.0455 0.0385

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,31 @@
,BER,FER,DFR,gamma,SNR,num_iter
0,0.3667057845582123,1.0,0.5,0.15,1.0,401.0
5,0.09600997506234414,1.0,0.5,0.01,1.0,401.0
6,0.09553508150248051,0.9662650602409638,0.49142156862745096,0.05,1.0,415.0
1,0.07410252658277242,0.9975124378109452,0.49937733499377335,0.01,1.5,402.0
7,0.07069616837560712,0.9197247706422018,0.47909199522102747,0.05,1.5,436.0
2,0.36004351865434453,1.0,0.5,0.15,1.5,401.0
3,0.35792870764265805,1.0,0.5,0.15,2.0,401.0
11,0.045429439381386355,0.806841046277666,0.4465478841870824,0.05,2.0,497.0
4,0.05541031227305737,0.9901234567901235,0.4975186104218362,0.01,2.0,405.0
8,0.35376830632997613,0.9950372208436724,0.4987562189054726,0.15,2.5,403.0
10,0.038878021517395556,0.9524940617577197,0.4878345498783455,0.01,2.5,421.0
14,0.027735368956743004,0.6122137404580152,0.3797348484848485,0.05,2.5,655.0
9,0.3542152009318579,0.9925742574257426,0.49813664596273294,0.15,3.0,404.0
13,0.025569971029096864,0.8586723768736617,0.4619815668202765,0.01,3.0,467.0
15,0.014269270461220925,0.4058704453441296,0.2881844380403458,0.05,3.0,988.0
12,0.3465577877342583,0.9852579852579852,0.4962871287128713,0.15,3.5,407.0
18,0.014951858879752618,0.7186379928315412,0.4181438998957247,0.01,3.5,558.0
20,0.006608650134135968,0.22302558398220246,0.18123861566484517,0.05,3.5,1798.0
16,0.3366835943010298,0.9616306954436451,0.4902200488997555,0.15,4.0,417.0
19,0.007813951020191568,0.5426251691474966,0.35175438596491226,0.01,4.0,739.0
23,0.0028434909906232824,0.11129614210380238,0.09992505620784412,0.05,4.0,3603.0
21,0.0037554004652708543,0.3398305084745763,0.25363693864642634,0.01,4.5,1180.0
17,0.3304911166344472,0.9413145539906104,0.4848851269649335,0.15,4.5,426.0
25,0.000913182750500114,0.04315540249677142,0.04107327141382869,0.05,4.5,9292.0
22,0.31993908674580945,0.909297052154195,0.47624703087885983,0.15,5.0,441.0
26,0.001726800505405026,0.19140811455847256,0.1606570512820513,0.01,5.0,2095.0
29,0.0003321078431372549,0.01755,0.017102417928051897,0.05,5.0,20000.0
24,0.3026382226710427,0.8605150214592274,0.46251441753171857,0.15,5.5,466.0
27,0.0006960718852419668,0.08924994435789005,0.08193706579485084,0.01,5.5,4493.0
28,9.852941176470589e-05,0.00565,0.005568814638027049,0.05,5.5,20000.0
1 BER FER DFR gamma SNR num_iter
2 0 0.3667057845582123 1.0 0.5 0.15 1.0 401.0
3 5 0.09600997506234414 1.0 0.5 0.01 1.0 401.0
4 6 0.09553508150248051 0.9662650602409638 0.49142156862745096 0.05 1.0 415.0
5 1 0.07410252658277242 0.9975124378109452 0.49937733499377335 0.01 1.5 402.0
6 7 0.07069616837560712 0.9197247706422018 0.47909199522102747 0.05 1.5 436.0
7 2 0.36004351865434453 1.0 0.5 0.15 1.5 401.0
8 3 0.35792870764265805 1.0 0.5 0.15 2.0 401.0
9 11 0.045429439381386355 0.806841046277666 0.4465478841870824 0.05 2.0 497.0
10 4 0.05541031227305737 0.9901234567901235 0.4975186104218362 0.01 2.0 405.0
11 8 0.35376830632997613 0.9950372208436724 0.4987562189054726 0.15 2.5 403.0
12 10 0.038878021517395556 0.9524940617577197 0.4878345498783455 0.01 2.5 421.0
13 14 0.027735368956743004 0.6122137404580152 0.3797348484848485 0.05 2.5 655.0
14 9 0.3542152009318579 0.9925742574257426 0.49813664596273294 0.15 3.0 404.0
15 13 0.025569971029096864 0.8586723768736617 0.4619815668202765 0.01 3.0 467.0
16 15 0.014269270461220925 0.4058704453441296 0.2881844380403458 0.05 3.0 988.0
17 12 0.3465577877342583 0.9852579852579852 0.4962871287128713 0.15 3.5 407.0
18 18 0.014951858879752618 0.7186379928315412 0.4181438998957247 0.01 3.5 558.0
19 20 0.006608650134135968 0.22302558398220246 0.18123861566484517 0.05 3.5 1798.0
20 16 0.3366835943010298 0.9616306954436451 0.4902200488997555 0.15 4.0 417.0
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After

Width:  |  Height:  |  Size: 68 KiB

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,k,err
0,0,0.3339411254969543
1,1,0.3339411254969543
2,2,0.3319411254969543
3,3,0.3319411254969543
4,4,0.3259411254969543
5,5,0.3066274169979695
6,6,0.27014213562373096
7,7,0.18765685424949236
8,8,0.116
9,9,0.05
10,10,0.02
11,11,0.002
12,12,0.0
13,13,0.0
14,14,0.0
15,15,0.0
16,16,0.0
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34,34,0.0
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38,38,0.0
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42,42,0.0
43,43,0.0
44,44,0.0
45,45,0.0
46,46,0.0
47,47,0.0
48,48,0.0
49,49,0.0
50,50,0.0
51,51,0.0
52,52,0.0
53,53,0.0
54,54,0.0
55,55,0.0
56,56,0.0
57,57,0.0
58,58,0.0
59,59,0.0
60,60,0.0
61,61,0.0
62,62,0.0
63,63,0.0
64,64,0.0
65,65,0.0
66,66,0.0
67,67,0.0
68,68,0.0
69,69,0.0
70,70,0.0
71,71,0.0
72,72,0.0
73,73,0.0
74,74,0.0
75,75,0.0
76,76,0.0
77,77,0.0
78,78,0.0
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80,80,0.0
81,81,0.0
82,82,0.0
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84,84,0.0
85,85,0.0
86,86,0.0
87,87,0.0
88,88,0.0
89,89,0.0
90,90,0.0
91,91,0.0
92,92,0.0
93,93,0.0
94,94,0.0
95,95,0.0
96,96,0.0
97,97,0.0
98,98,0.0
99,99,0.0
1 k err
2 0 0 0.3339411254969543
3 1 1 0.3339411254969543
4 2 2 0.3319411254969543
5 3 3 0.3319411254969543
6 4 4 0.3259411254969543
7 5 5 0.3066274169979695
8 6 6 0.27014213562373096
9 7 7 0.18765685424949236
10 8 8 0.116
11 9 9 0.05
12 10 10 0.02
13 11 11 0.002
14 12 12 0.0
15 13 13 0.0
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31 29 29 0.0
32 30 30 0.0
33 31 31 0.0
34 32 32 0.0
35 33 33 0.0
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44 42 42 0.0
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55 53 53 0.0
56 54 54 0.0
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62 60 60 0.0
63 61 61 0.0
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View File

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,k,err
0,0,7.982324770657842
1,1,7.9818200419223775
2,2,7.979389222914536
3,3,7.9715149508842895
4,4,7.945648681018778
5,5,7.886968975875575
6,6,7.772317764885974
7,7,7.586019172578968
8,8,7.330512400454124
9,9,7.02449611979366
10,10,6.6620702173524835
11,11,6.296213102761174
12,12,5.9529444299487135
13,13,5.645248295809498
14,14,5.358069797162307
15,15,5.122583908413474
16,16,4.902925500815161
17,17,4.701756171349905
18,18,4.515161578199132
19,19,4.350642435321481
20,20,4.193653005028043
21,21,4.0661146517615245
22,22,3.963409911385025
23,23,3.861878848702277
24,24,3.7646726041124356
25,25,3.6924299948365555
26,26,3.6128517284138737
27,27,3.5364283284204165
28,28,3.441306221481087
29,29,3.3718742705518965
30,30,3.3067329404936263
31,31,3.243024888873929
32,32,3.189466914212804
33,33,3.1355193637129197
34,34,3.084728525936002
35,35,3.034843256755874
36,36,2.9818726544849614
37,37,2.93491437003993
38,38,2.883453363716075
39,39,2.8423534434292526
40,40,2.794350978691258
41,41,2.748305936689955
42,42,2.7099496372952774
43,43,2.678321528672332
44,44,2.6563837798417893
45,45,2.619985998282731
46,46,2.583865226244185
47,47,2.539973434001352
48,48,2.508056096332604
49,49,2.486570368291385
50,50,2.463184085158061
51,51,2.4454929917457404
52,52,2.4222923724318446
53,53,2.406838852283313
54,54,2.3843692570509765
55,55,2.361810163094275
56,56,2.338745880197405
57,57,2.319674005812457
58,58,2.298173736242624
59,59,2.272539784962469
60,60,2.250063462481186
61,61,2.238731811065356
62,62,2.221711934237071
63,63,2.207012080073486
64,64,2.194638774516942
65,65,2.185553866925824
66,66,2.177101348583194
67,67,2.1668507482601207
68,68,2.151232058941063
69,69,2.1460577360704782
70,70,2.142274057195853
71,71,2.135784701531381
72,72,2.1303843613204636
73,73,2.125745622254845
74,74,2.1183276430712286
75,75,2.1092510414569228
76,76,2.102134846527935
77,77,2.0893989249640152
78,78,2.0839623907724425
79,79,2.0770780437466
80,80,2.0732603124684723
81,81,2.0649835975454
82,82,2.0558686382152045
83,83,2.052590619728205
84,84,2.044486735374162
85,85,2.035894288505219
86,86,2.0263949747302363
87,87,2.0182997359581334
88,88,2.014572878666974
89,89,2.008020814761622
90,90,2.0009106126362712
91,91,1.9907811323818025
92,92,1.9883298503224562
93,93,1.9881777072308442
94,94,1.9823580466022148
95,95,1.9810035417962037
96,96,1.9760746093129653
97,97,1.9742284885889583
98,98,1.9674755794573762
99,99,1.9619849724434077
1 k err
2 0 0 7.982324770657842
3 1 1 7.9818200419223775
4 2 2 7.979389222914536
5 3 3 7.9715149508842895
6 4 4 7.945648681018778
7 5 5 7.886968975875575
8 6 6 7.772317764885974
9 7 7 7.586019172578968
10 8 8 7.330512400454124
11 9 9 7.02449611979366
12 10 10 6.6620702173524835
13 11 11 6.296213102761174
14 12 12 5.9529444299487135
15 13 13 5.645248295809498
16 14 14 5.358069797162307
17 15 15 5.122583908413474
18 16 16 4.902925500815161
19 17 17 4.701756171349905
20 18 18 4.515161578199132
21 19 19 4.350642435321481
22 20 20 4.193653005028043
23 21 21 4.0661146517615245
24 22 22 3.963409911385025
25 23 23 3.861878848702277
26 24 24 3.7646726041124356
27 25 25 3.6924299948365555
28 26 26 3.6128517284138737
29 27 27 3.5364283284204165
30 28 28 3.441306221481087
31 29 29 3.3718742705518965
32 30 30 3.3067329404936263
33 31 31 3.243024888873929
34 32 32 3.189466914212804
35 33 33 3.1355193637129197
36 34 34 3.084728525936002
37 35 35 3.034843256755874
38 36 36 2.9818726544849614
39 37 37 2.93491437003993
40 38 38 2.883453363716075
41 39 39 2.8423534434292526
42 40 40 2.794350978691258
43 41 41 2.748305936689955
44 42 42 2.7099496372952774
45 43 43 2.678321528672332
46 44 44 2.6563837798417893
47 45 45 2.619985998282731
48 46 46 2.583865226244185
49 47 47 2.539973434001352
50 48 48 2.508056096332604
51 49 49 2.486570368291385
52 50 50 2.463184085158061
53 51 51 2.4454929917457404
54 52 52 2.4222923724318446
55 53 53 2.406838852283313
56 54 54 2.3843692570509765
57 55 55 2.361810163094275
58 56 56 2.338745880197405
59 57 57 2.319674005812457
60 58 58 2.298173736242624
61 59 59 2.272539784962469
62 60 60 2.250063462481186
63 61 61 2.238731811065356
64 62 62 2.221711934237071
65 63 63 2.207012080073486
66 64 64 2.194638774516942
67 65 65 2.185553866925824
68 66 66 2.177101348583194
69 67 67 2.1668507482601207
70 68 68 2.151232058941063
71 69 69 2.1460577360704782
72 70 70 2.142274057195853
73 71 71 2.135784701531381
74 72 72 2.1303843613204636
75 73 73 2.125745622254845
76 74 74 2.1183276430712286
77 75 75 2.1092510414569228
78 76 76 2.102134846527935
79 77 77 2.0893989249640152
80 78 78 2.0839623907724425
81 79 79 2.0770780437466
82 80 80 2.0732603124684723
83 81 81 2.0649835975454
84 82 82 2.0558686382152045
85 83 83 2.052590619728205
86 84 84 2.044486735374162
87 85 85 2.035894288505219
88 86 86 2.0263949747302363
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90 88 88 2.014572878666974
91 89 89 2.008020814761622
92 90 90 2.0009106126362712
93 91 91 1.9907811323818025
94 92 92 1.9883298503224562
95 93 93 1.9881777072308442
96 94 94 1.9823580466022148
97 95 95 1.9810035417962037
98 96 96 1.9760746093129653
99 97 97 1.9742284885889583
100 98 98 1.9674755794573762
101 99 99 1.9619849724434077

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5,5,5.353074357211584
6,6,5.213845586286932
7,7,4.958868053225316
8,8,4.617089210264045
9,9,4.153838855136695
10,10,3.6380566267274594
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12,12,2.5140299793724723
13,13,2.051547662052301
14,14,1.664198013997489
15,15,1.332044460568945
16,16,1.0801888146255607
17,17,0.9144728527237759
18,18,0.7799929217363999
19,19,0.6870078357160194
20,20,0.5917364793061872
21,21,0.49590271538186537
22,22,0.44970214191446256
23,23,0.39177173692706635
24,24,0.35543528648344774
25,25,0.3166055144386758
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27,27,0.26455635534377014
28,28,0.24273596255888574
29,29,0.2276150066942556
30,30,0.21794500702552427
31,31,0.20178066552493776
32,32,0.18217442828606906
33,33,0.17617442828606905
34,34,0.1613328557420839
35,35,0.1518395400279835
36,36,0.14520386553759193
37,37,0.14120386553759193
38,38,0.13793251655680877
39,39,0.13563998781692485
40,40,0.1299325165568088
41,41,0.12699503457776712
42,42,0.1261666074530209
43,43,0.12373976392245413
44,44,0.11944723518257021
45,45,0.11779038093307781
46,46,0.11496195380833163
47,47,0.11413352668358544
48,48,0.11149785219319389
49,49,0.10842605542346938
50,50,0.10842605542346938
51,51,0.1024260554234694
52,52,0.10225550866597036
53,53,0.10225550866597036
54,54,0.10225550866597036
55,55,0.09961983417557879
56,56,0.09926354300583218
57,57,0.09926354300583218
58,58,0.09926354300583218
59,59,0.09843511588108599
60,60,0.09707079037147756
61,61,0.09707079037147756
62,62,0.09707079037147756
63,63,0.09507079037147756
64,64,0.09507079037147756
65,65,0.09507079037147756
66,66,0.09507079037147756
67,67,0.09507079037147756
68,68,0.09507079037147756
69,69,0.09424236324673137
70,70,0.09424236324673137
71,71,0.09341393612198519
72,72,0.08941393612198519
73,73,0.08941393612198519
74,74,0.08941393612198519
75,75,0.08941393612198519
76,76,0.08941393612198519
77,77,0.08941393612198519
78,78,0.08941393612198519
79,79,0.08941393612198519
80,80,0.08941393612198519
81,81,0.08941393612198519
82,82,0.08941393612198519
83,83,0.08941393612198519
84,84,0.08941393612198519
85,85,0.08941393612198519
86,86,0.08941393612198519
87,87,0.08941393612198519
88,88,0.08941393612198519
89,89,0.08941393612198519
90,90,0.08941393612198519
91,91,0.08941393612198519
92,92,0.08941393612198519
93,93,0.08904858449462198
94,94,0.08904858449462198
95,95,0.08904858449462198
96,96,0.08904858449462198
97,97,0.08904858449462198
98,98,0.08904858449462198
99,99,0.08904858449462198
1 k err
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3 1 1 5.435358411028935
4 2 2 5.432911569265685
5 3 3 5.4260184374203995
6 4 4 5.4032814263559965
7 5 5 5.353074357211584
8 6 6 5.213845586286932
9 7 7 4.958868053225316
10 8 8 4.617089210264045
11 9 9 4.153838855136695
12 10 10 3.6380566267274594
13 11 11 3.090598019582641
14 12 12 2.5140299793724723
15 13 13 2.051547662052301
16 14 14 1.664198013997489
17 15 15 1.332044460568945
18 16 16 1.0801888146255607
19 17 17 0.9144728527237759
20 18 18 0.7799929217363999
21 19 19 0.6870078357160194
22 20 20 0.5917364793061872
23 21 21 0.49590271538186537
24 22 22 0.44970214191446256
25 23 23 0.39177173692706635
26 24 24 0.35543528648344774
27 25 25 0.3166055144386758
28 26 26 0.2905057383331465
29 27 27 0.26455635534377014
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31 29 29 0.2276150066942556
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33 31 31 0.20178066552493776
34 32 32 0.18217442828606906
35 33 33 0.17617442828606905
36 34 34 0.1613328557420839
37 35 35 0.1518395400279835
38 36 36 0.14520386553759193
39 37 37 0.14120386553759193
40 38 38 0.13793251655680877
41 39 39 0.13563998781692485
42 40 40 0.1299325165568088
43 41 41 0.12699503457776712
44 42 42 0.1261666074530209
45 43 43 0.12373976392245413
46 44 44 0.11944723518257021
47 45 45 0.11779038093307781
48 46 46 0.11496195380833163
49 47 47 0.11413352668358544
50 48 48 0.11149785219319389
51 49 49 0.10842605542346938
52 50 50 0.10842605542346938
53 51 51 0.1024260554234694
54 52 52 0.10225550866597036
55 53 53 0.10225550866597036
56 54 54 0.10225550866597036
57 55 55 0.09961983417557879
58 56 56 0.09926354300583218
59 57 57 0.09926354300583218
60 58 58 0.09926354300583218
61 59 59 0.09843511588108599
62 60 60 0.09707079037147756
63 61 61 0.09707079037147756
64 62 62 0.09707079037147756
65 63 63 0.09507079037147756
66 64 64 0.09507079037147756
67 65 65 0.09507079037147756
68 66 66 0.09507079037147756
69 67 67 0.09507079037147756
70 68 68 0.09507079037147756
71 69 69 0.09424236324673137
72 70 70 0.09424236324673137
73 71 71 0.09341393612198519
74 72 72 0.08941393612198519
75 73 73 0.08941393612198519
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79 77 77 0.08941393612198519
80 78 78 0.08941393612198519
81 79 79 0.08941393612198519
82 80 80 0.08941393612198519
83 81 81 0.08941393612198519
84 82 82 0.08941393612198519
85 83 83 0.08941393612198519
86 84 84 0.08941393612198519
87 85 85 0.08941393612198519
88 86 86 0.08941393612198519
89 87 87 0.08941393612198519
90 88 88 0.08941393612198519
91 89 89 0.08941393612198519
92 90 90 0.08941393612198519
93 91 91 0.08941393612198519
94 92 92 0.08941393612198519
95 93 93 0.08904858449462198
96 94 94 0.08904858449462198
97 95 95 0.08904858449462198
98 96 96 0.08904858449462198
99 97 97 0.08904858449462198
100 98 98 0.08904858449462198
101 99 99 0.08904858449462198

View File

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,k,err
0,0,1.8432938994775205
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2,2,1.8418297978623828
3,3,1.8384654723527742
4,4,1.8140240084124553
5,5,1.7603116417964733
6,6,1.638047368887467
7,7,1.3961569063146007
8,8,1.0736297479949977
9,9,0.6513186643003447
10,10,0.37701146435096083
11,11,0.1884346643636149
12,12,0.08282842712474618
13,13,0.03282842712474619
14,14,0.016
15,15,0.004
16,16,0.004
17,17,0.002
18,18,0.002
19,19,0.002
20,20,0.0
21,21,0.0
22,22,0.0
23,23,0.0
24,24,0.0
25,25,0.0
26,26,0.0
27,27,0.0
28,28,0.0
29,29,0.0
30,30,0.0
31,31,0.0
32,32,0.0
33,33,0.0
34,34,0.0
35,35,0.0
36,36,0.0
37,37,0.0
38,38,0.0
39,39,0.0
40,40,0.0
41,41,0.0
42,42,0.0
43,43,0.0
44,44,0.0
45,45,0.0
46,46,0.0
47,47,0.0
48,48,0.0
49,49,0.0
50,50,0.0
51,51,0.0
52,52,0.0
53,53,0.0
54,54,0.0
55,55,0.0
56,56,0.0
57,57,0.0
58,58,0.0
59,59,0.0
60,60,0.0
61,61,0.0
62,62,0.0
63,63,0.0
64,64,0.0
65,65,0.0
66,66,0.0
67,67,0.0
68,68,0.0
69,69,0.0
70,70,0.0
71,71,0.0
72,72,0.0
73,73,0.0
74,74,0.0
75,75,0.0
76,76,0.0
77,77,0.0
78,78,0.0
79,79,0.0
80,80,0.0
81,81,0.0
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84,84,0.0
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86,86,0.0
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91,91,0.0
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93,93,0.0
94,94,0.0
95,95,0.0
96,96,0.0
97,97,0.0
98,98,0.0
99,99,0.0
1 k err
2 0 0 1.8432938994775205
3 1 1 1.8432938994775205
4 2 2 1.8418297978623828
5 3 3 1.8384654723527742
6 4 4 1.8140240084124553
7 5 5 1.7603116417964733
8 6 6 1.638047368887467
9 7 7 1.3961569063146007
10 8 8 1.0736297479949977
11 9 9 0.6513186643003447
12 10 10 0.37701146435096083
13 11 11 0.1884346643636149
14 12 12 0.08282842712474618
15 13 13 0.03282842712474619
16 14 14 0.016
17 15 15 0.004
18 16 16 0.004
19 17 17 0.002
20 18 18 0.002
21 19 19 0.002
22 20 20 0.0
23 21 21 0.0
24 22 22 0.0
25 23 23 0.0
26 24 24 0.0
27 25 25 0.0
28 26 26 0.0
29 27 27 0.0
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31 29 29 0.0
32 30 30 0.0
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@@ -0,0 +1,101 @@
k,grad_h,grad_l
0,2.9869815158515247,14.990309874069094
1,0.8487600631019951,1.896474021735919
2,1.3264923772723758,1.7592138390994625
3,1.8095325629247263,1.6049468061461516
4,2.2486827586676386,1.4237788655993067
5,2.5755668102805376,1.203704152315192
6,2.7930949592691063,0.9627544761557942
7,2.8459288464625705,0.6930059064423089
8,2.5134493158019615,0.4072044625950206
9,1.7131986517000444,0.19114683333978
10,0.5244522258347046,0.06329955009861353
11,0.11095284318355014,0.02503920807413887
12,0.021149402629412107,0.007871672414631025
13,0.009564265223419095,0.004022872724688095
14,0.0,0.0
15,0.0,0.0
16,0.0,0.0
17,0.0,0.0
18,0.0,0.0
19,0.0,0.0
20,0.0,0.0
21,0.0,0.0
22,0.0,0.0
23,0.0,0.0
24,0.0,0.0
25,0.0,0.0
26,0.0,0.0
27,0.0,0.0
28,0.0,0.0
29,0.0,0.0
30,0.0,0.0
31,0.0,0.0
32,0.0,0.0
33,0.0,0.0
34,0.0,0.0
35,0.0,0.0
36,0.0,0.0
37,0.0,0.0
38,0.0,0.0
39,0.0,0.0
40,0.0,0.0
41,0.0,0.0
42,0.0,0.0
43,0.0,0.0
44,0.0,0.0
45,0.0,0.0
46,0.0,0.0
47,0.0,0.0
48,0.0,0.0
49,0.0,0.0
50,0.0,0.0
51,0.0,0.0
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53,0.0,0.0
54,0.0,0.0
55,0.0,0.0
56,0.0,0.0
57,0.0,0.0
58,0.0,0.0
59,0.0,0.0
60,0.0,0.0
61,0.0,0.0
62,0.0,0.0
63,0.0,0.0
64,0.0,0.0
65,0.0,0.0
66,0.0,0.0
67,0.0,0.0
68,0.0,0.0
69,0.0,0.0
70,0.0,0.0
71,0.0,0.0
72,0.0,0.0
73,0.0,0.0
74,0.0,0.0
75,0.0,0.0
76,0.0,0.0
77,0.0,0.0
78,0.0,0.0
79,0.0,0.0
80,0.0,0.0
81,0.0,0.0
82,0.0,0.0
83,0.0,0.0
84,0.0,0.0
85,0.0,0.0
86,0.0,0.0
87,0.0,0.0
88,0.0,0.0
89,0.0,0.0
90,0.0,0.0
91,0.0,0.0
92,0.0,0.0
93,0.0,0.0
94,0.0,0.0
95,0.0,0.0
96,0.0,0.0
97,0.0,0.0
98,0.0,0.0
99,0.0,0.0
1 k grad_h grad_l
2 0 2.9869815158515247 14.990309874069094
3 1 0.8487600631019951 1.896474021735919
4 2 1.3264923772723758 1.7592138390994625
5 3 1.8095325629247263 1.6049468061461516
6 4 2.2486827586676386 1.4237788655993067
7 5 2.5755668102805376 1.203704152315192
8 6 2.7930949592691063 0.9627544761557942
9 7 2.8459288464625705 0.6930059064423089
10 8 2.5134493158019615 0.4072044625950206
11 9 1.7131986517000444 0.19114683333978
12 10 0.5244522258347046 0.06329955009861353
13 11 0.11095284318355014 0.02503920807413887
14 12 0.021149402629412107 0.007871672414631025
15 13 0.009564265223419095 0.004022872724688095
16 14 0.0 0.0
17 15 0.0 0.0
18 16 0.0 0.0
19 17 0.0 0.0
20 18 0.0 0.0
21 19 0.0 0.0
22 20 0.0 0.0
23 21 0.0 0.0
24 22 0.0 0.0
25 23 0.0 0.0
26 24 0.0 0.0
27 25 0.0 0.0
28 26 0.0 0.0
29 27 0.0 0.0
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31 29 0.0 0.0
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35 33 0.0 0.0
36 34 0.0 0.0
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38 36 0.0 0.0
39 37 0.0 0.0
40 38 0.0 0.0
41 39 0.0 0.0
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@@ -0,0 +1,101 @@
k,grad_h,grad_l
0,3.470606295828234,17.491144607329733
1,7.213626775672211,16.443059469071184
2,10.907662172719157,15.260341852766487
3,14.078208153384837,13.95331951791824
4,16.331544949930677,12.56046375939265
5,17.72630837165986,11.152604652471473
6,18.82336415405246,9.820839629494497
7,20.11963463526365,8.65239762667775
8,21.428755822208444,7.722425892128434
9,22.126554513141453,7.1161017382447636
10,21.886994658029746,6.905979793038563
11,20.79429893376467,7.030253082603176
12,19.30480794178462,7.312378402620442
13,17.72168469649801,7.609196165147529
14,16.275320232234883,7.878565808104387
15,14.958599419620505,8.081796396095609
16,13.772242381971534,8.191953342505112
17,12.781240768592268,8.264116223080492
18,11.95286435590864,8.280659905550463
19,11.222559169208736,8.241970059616643
20,10.627350465155573,8.161714962039904
21,10.107058117821543,8.063664514375677
22,9.575301163379793,7.886188065818179
23,9.165131348881257,7.76524647356051
24,8.866663809709726,7.680112425954649
25,8.595932868442915,7.590411122348877
26,8.368091207742872,7.4954229390205995
27,8.186474024917656,7.426699817966359
28,7.980036366005452,7.305500686545666
29,7.821992117735289,7.228802251724586
30,7.6539172081067415,7.110788650685512
31,7.503147918214663,7.019127415805116
32,7.438570055382488,6.965802037583322
33,7.308549740229956,6.883111845261224
34,7.237335036510823,6.817898103405536
35,7.1613676702265385,6.772179510232794
36,7.14786967075224,6.741764650949666
37,7.017601921651384,6.647176618311105
38,6.9274398513159055,6.549846674733141
39,6.796709150469661,6.43752072985362
40,6.712096084985453,6.3400787730950645
41,6.65711786328923,6.288611156476172
42,6.587249756365222,6.191066098473184
43,6.5037765538578975,6.102985226702461
44,6.4974661183142,6.060024457460992
45,6.450432550812874,6.008323883577544
46,6.44639000685707,5.966720005829903
47,6.3964017160456645,5.896619100197058
48,6.285108764673592,5.786855456729824
49,6.227708230726816,5.714719548819515
50,6.207431389379011,5.6615880634435065
51,6.166547152279696,5.609246336871212
52,6.108726825218844,5.518510878274942
53,6.085727384180881,5.4740765682054455
54,6.097433703929969,5.43884762623916
55,6.095318918150441,5.424153662960973
56,6.05713600555893,5.343322418934056
57,5.988644277315609,5.281174618887539
58,5.9592008157698935,5.226937958869124
59,5.948205722309723,5.2005472487056315
60,5.92396562746563,5.144486425108774
61,5.905944536236729,5.110319864527299
62,5.883695091288629,5.054111763508021
63,5.7835634426108635,4.981731471059131
64,5.795446632280772,4.954610159937369
65,5.771367879644626,4.920795790655327
66,5.791930228722206,4.8938323220439415
67,5.737458624398069,4.847668071022597
68,5.773568353723367,4.839016251317572
69,5.787843414996758,4.8315941301144125
70,5.802796565484864,4.7944132651945495
71,5.771592421859948,4.750016952941785
72,5.770213379895771,4.712890656275818
73,5.745540541644907,4.677495295742271
74,5.722610413077541,4.631659034379141
75,5.651703911544692,4.585389250216735
76,5.701332465073549,4.576628313248247
77,5.674845123004923,4.5508938499588965
78,5.690451982539328,4.514536683611752
79,5.6995744807337925,4.5080268976215745
80,5.709205777131089,4.478268849197834
81,5.672136243329217,4.4529572609369845
82,5.678068984531565,4.424024947405256
83,5.666008700191573,4.3967772377093
84,5.6985852816084615,4.387436406133516
85,5.691461869463989,4.371677284627228
86,5.717706948339191,4.362560961212469
87,5.710930448951453,4.345590047960611
88,5.715884649832776,4.327718678094605
89,5.719150503455377,4.31850963005021
90,5.714217343282059,4.299502397562742
91,5.717880042579559,4.28244365161402
92,5.731269277220081,4.272960893352809
93,5.737481600621662,4.255204581597928
94,5.721053576494755,4.236195844864716
95,5.717272756518202,4.218922318065037
96,5.697495368753523,4.20071848207438
97,5.709076515988398,4.183032967503651
98,5.654127780044044,4.144534368003358
99,5.667706368720149,4.135799467235638
1 k grad_h grad_l
2 0 3.470606295828234 17.491144607329733
3 1 7.213626775672211 16.443059469071184
4 2 10.907662172719157 15.260341852766487
5 3 14.078208153384837 13.95331951791824
6 4 16.331544949930677 12.56046375939265
7 5 17.72630837165986 11.152604652471473
8 6 18.82336415405246 9.820839629494497
9 7 20.11963463526365 8.65239762667775
10 8 21.428755822208444 7.722425892128434
11 9 22.126554513141453 7.1161017382447636
12 10 21.886994658029746 6.905979793038563
13 11 20.79429893376467 7.030253082603176
14 12 19.30480794178462 7.312378402620442
15 13 17.72168469649801 7.609196165147529
16 14 16.275320232234883 7.878565808104387
17 15 14.958599419620505 8.081796396095609
18 16 13.772242381971534 8.191953342505112
19 17 12.781240768592268 8.264116223080492
20 18 11.95286435590864 8.280659905550463
21 19 11.222559169208736 8.241970059616643
22 20 10.627350465155573 8.161714962039904
23 21 10.107058117821543 8.063664514375677
24 22 9.575301163379793 7.886188065818179
25 23 9.165131348881257 7.76524647356051
26 24 8.866663809709726 7.680112425954649
27 25 8.595932868442915 7.590411122348877
28 26 8.368091207742872 7.4954229390205995
29 27 8.186474024917656 7.426699817966359
30 28 7.980036366005452 7.305500686545666
31 29 7.821992117735289 7.228802251724586
32 30 7.6539172081067415 7.110788650685512
33 31 7.503147918214663 7.019127415805116
34 32 7.438570055382488 6.965802037583322
35 33 7.308549740229956 6.883111845261224
36 34 7.237335036510823 6.817898103405536
37 35 7.1613676702265385 6.772179510232794
38 36 7.14786967075224 6.741764650949666
39 37 7.017601921651384 6.647176618311105
40 38 6.9274398513159055 6.549846674733141
41 39 6.796709150469661 6.43752072985362
42 40 6.712096084985453 6.3400787730950645
43 41 6.65711786328923 6.288611156476172
44 42 6.587249756365222 6.191066098473184
45 43 6.5037765538578975 6.102985226702461
46 44 6.4974661183142 6.060024457460992
47 45 6.450432550812874 6.008323883577544
48 46 6.44639000685707 5.966720005829903
49 47 6.3964017160456645 5.896619100197058
50 48 6.285108764673592 5.786855456729824
51 49 6.227708230726816 5.714719548819515
52 50 6.207431389379011 5.6615880634435065
53 51 6.166547152279696 5.609246336871212
54 52 6.108726825218844 5.518510878274942
55 53 6.085727384180881 5.4740765682054455
56 54 6.097433703929969 5.43884762623916
57 55 6.095318918150441 5.424153662960973
58 56 6.05713600555893 5.343322418934056
59 57 5.988644277315609 5.281174618887539
60 58 5.9592008157698935 5.226937958869124
61 59 5.948205722309723 5.2005472487056315
62 60 5.92396562746563 5.144486425108774
63 61 5.905944536236729 5.110319864527299
64 62 5.883695091288629 5.054111763508021
65 63 5.7835634426108635 4.981731471059131
66 64 5.795446632280772 4.954610159937369
67 65 5.771367879644626 4.920795790655327
68 66 5.791930228722206 4.8938323220439415
69 67 5.737458624398069 4.847668071022597
70 68 5.773568353723367 4.839016251317572
71 69 5.787843414996758 4.8315941301144125
72 70 5.802796565484864 4.7944132651945495
73 71 5.771592421859948 4.750016952941785
74 72 5.770213379895771 4.712890656275818
75 73 5.745540541644907 4.677495295742271
76 74 5.722610413077541 4.631659034379141
77 75 5.651703911544692 4.585389250216735
78 76 5.701332465073549 4.576628313248247
79 77 5.674845123004923 4.5508938499588965
80 78 5.690451982539328 4.514536683611752
81 79 5.6995744807337925 4.5080268976215745
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@@ -0,0 +1,101 @@
k,grad_h,grad_l
0,3.2566612416555176,16.38228890635466
1,6.815940468545528,15.400342542630622
2,10.456799984521695,14.289583706256735
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9,25.63258673347512,5.713578029815247
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13,13.32079106341721,5.223062265120359
14,9.982102915909358,4.705165104925301
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31,0.7599035768843464,0.7104418677297946
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59,0.3158050487100183,0.24512135952702738
60,0.29824791104079545,0.2377191890150268
61,0.3154174847592736,0.2372742459883833
62,0.3075595340407724,0.2379378941332389
63,0.3255626575445735,0.23746360737515562
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65,0.3209072637372161,0.2304266508405943
66,0.31072696978046055,0.23120250318611568
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68,0.31893011519687187,0.23143839546321696
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1 k grad_h grad_l
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20 18 3.621212823710129 2.650020650765261
21 19 2.8558127925066605 2.233407003827973
22 20 2.4483684183520986 1.9962811458791891
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24 22 1.7512359334332281 1.5184304178591057
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26 24 1.387815601460771 1.2392376722723277
27 25 1.251889988816224 1.1258669400835257
28 26 1.1360323098672593 1.0282654917975698
29 27 1.0375219651555945 0.944836598648075
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k,grad_h,grad_l
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1 k grad_h grad_l
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