b2/python/pybertini/endgame/__init__.py
2025-01-14 01:15:53 +01:00

88 lines
2.8 KiB
Python

# This file is part of Bertini 2.
#
# python/pybertini/endgame/__init__.py is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# python/pybertini/endgame/__init__.py is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with python/pybertini/endgame/__init__.py. If not, see <http://www.gnu.org/licenses/>.
#
# Copyright(C) 2018 by Bertini2 Development Team
#
# See <http://www.gnu.org/licenses/> for a copy of the license,
# as well as COPYING. Bertini2 is provided with permitted
# additional terms in the b2/licenses/ directory.
# individual authors of this file include:
#
# silviana amethyst
# UWEC
# Spring 2018
#
"""
Endgame-specific things -- endgames, configs
***********************************************
Endgames allow the computation of singular endpoints.
Flavors
=========
There are two basic flavors of endgame implemented:
1. Power Series, commonly written PS or PSEG
2. Cauchy
Both estimate the cycle number and use it to compute a root at a time which is never tracked to. PSEG uses Hermite interpolation and extrapolation, and Cauchy uses loops around the target time coupled with the `Cauchy integral formula <https://en.wikipedia.org/wiki/Cauchy%27s_integral_formula>`_. Both continue until two successive approximations of the root match to a given tolerance (:py:attr:`pybertini.endgame.config.Endgame.final_tolerance`).
The implementations of the endgames go with a particular tracker, hence there are six provided endgame types. Choose the one that goes with your selected tracker type. Adaptive Multiple Precision is a good choice.
Implementation reference
=========================
AMP Endgames
-------------
* :class:`~pybertini.endgame.AMPCauchyEG`
* :class:`~pybertini.endgame.AMPPSEG`
Fixed Double Precision Endgames
---------------------------------
* :class:`~pybertini.endgame.FixedDoublePSEG`
* :class:`~pybertini.endgame.FixedDoublePSEG`
Fixed Multiple Precision Endgames
-------------------------------------
* :class:`~pybertini.endgame.FixedMultiplePSEG`
* :class:`~pybertini.endgame.FixedMultiplePSEG`
"""
import pybertini._pybertini.endgame
from pybertini._pybertini.endgame import *
__all__ = ['AMPCauchyEG',
'AMPPSEG',
'FixedDoubleCauchyEG',
'FixedDoublePSEG',
'FixedMultipleCauchyEG',
'FixedMultiplePSEG',
'__doc__',
'__loader__',
'__name__',
'__package__',
'__spec__',
'config',
'observers']