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1
core/example/parameter_homotopy/.gitignore
vendored
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1
core/example/parameter_homotopy/.gitignore
vendored
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build/
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68
core/example/parameter_homotopy/CMakeLists.txt
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68
core/example/parameter_homotopy/CMakeLists.txt
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cmake_minimum_required (VERSION 3.4)
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project (parameter_homotopy_example)
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IF( NOT CMAKE_BUILD_TYPE )
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SET( CMAKE_BUILD_TYPE debug)
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ENDIF()
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message("CMAKE_BUILD_TYPE = ${CMAKE_BUILD_TYPE}")
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set(CMAKE_CXX_STANDARD 14)
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set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -Wall -g -O0")
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set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O2")
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set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${CMAKE_CXX_FLAGS_RELWITHDEBINFO} -O2 -g")
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include_directories (include)
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set(MY_HEADERS
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include/parameter_homotopy.hpp
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)
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set(MY_SOURCES
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src/main.cpp
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)
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include(GenerateExportHeader)
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set(EXECUTABLE_OUTPUT_PATH ${CMAKE_BINARY_DIR}/bin)
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find_library(B2_LIBRARIES
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NAMES "bertini2"
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)
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find_library(GMP_LIBRARIES
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NAMES "gmp"
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)
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find_library(MPFR_LIBRARIES
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NAMES "mpfr"
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)
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#Prep for compiling against boost
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find_package(Boost REQUIRED
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COMPONENTS system log)
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INCLUDE_DIRECTORIES(${Boost_INCLUDE_DIR})
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LINK_DIRECTORIES(${Boost_LIBRARY_DIRS})
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find_package (Eigen3 3.3 REQUIRED NO_MODULE)
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include_directories(${B2_INCLUDE_DIRS})
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add_executable(parameter_homotopy_example ${MY_SOURCES})
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target_link_libraries (parameter_homotopy_example ${B2_LIBRARIES} ${MPFR_LIBRARIES} ${GMP_LIBRARIES} Eigen3::Eigen ${Boost_LIBRARIES})
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#set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -ltcmalloc")
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#set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -lprofiler")
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14
core/example/parameter_homotopy/README.md
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14
core/example/parameter_homotopy/README.md
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This example illustrates a way to use Bertini2 as an engine to run parameter homotopies.
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--
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### Compiling
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Uses CMake.
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1. `cd b2/core/example/parameter_homotopy`
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2. `mkdir build && cd build`
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3. `cmake ..`
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4. `make`
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Resulting product `parameter_homotopy` is in `build/bin/`
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108
core/example/parameter_homotopy/include/my_system.hpp
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108
core/example/parameter_homotopy/include/my_system.hpp
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#pragma once
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#include <bertini2/system.hpp>
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namespace demo{
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using Node = std::shared_ptr<bertini::node::Node>;
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using Variable = std::shared_ptr<bertini::node::Variable>;
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using dbl = bertini::dbl;
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using mpfr = bertini::mpfr;
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auto MakeStep1Parameters()
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{
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using bertini::Variable::Make;
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// make symbolic objects for the parameters
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auto param_A = MakeFloat(bertini::RandomComplex(30));
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auto param_B = MakeFloat(bertini::RandomComplex(30));
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auto param_C = MakeFloat(bertini::RandomComplex(30));
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auto param_D = MakeFloat(bertini::RandomComplex(30));
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return std::vector<Node>{param_A, param_B, param_C, param_D};
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}
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template<typename ParamContT>
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auto MakeStep2Parameters(ParamContT const& step1_params, Node const& time)
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{
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using bertini::Variable::Make;
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std::vector<Node> steptwo_param_funcs;
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std::vector<Variable> steptwo_params;
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std::string suffix = "A";
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for (const auto& p: step1_params)
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{
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auto new_param = Variable::Make("param_"+suffix);
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steptwo_params.push_back(new_param);
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steptwo_param_funcs.push_back((1-time)*new_param + time*p);
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++suffix[0];
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}
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return std::make_tuple(steptwo_param_funcs, steptwo_params);
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}
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template <typename ParamContT>
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auto ConstructSystem(ParamContT const& params)
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{
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using bertini::Variable::Make;
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auto x1 = Variable::Make("x1");
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auto x2 = Variable::Make("x2");
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auto x3 = Variable::Make("x3");
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auto x4 = Variable::Make("x4");
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auto f1 = x1*x1*x1*params[0] + x1*x1*x2*params[1] + x1*x2*x2*params[2] + x1*x3*x3*params[3] + x1*x4*x4*params[0]
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+ x1*params[1]+ x2*x2*x2*params[2] + x2*x3*x3*params[3] + x2*x4*x4*params[0] + x2*params[1] + 1;
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auto f2 = x1*x1*x1*params[2] + x1*x1*x2*params[3] + x1*x2*x2*params[0] + x1*x3*x3*params[1] + x1*x4*x4*params[2]
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+ x1*params[3] + x2*x2*x2*params[0] + x2*x3*x3*params[1] + x2*x4*x4*params[2] + x2*params[3] - 1;
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auto f3 = x1*x1*x3*params[0] + x1*x2*x3*params[1] + x2*x2*x3*params[2] + x3*x3*x3*params[3] + x3*x4*x4*params[0] + x3*params[1] + 2;
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auto f4 = x1*x1*x4*params[2] + x1*x2*x4*params[3] + x2*x2*x4*params[0] + x3*x3*x4*params[1] + x4*x4*x4*params[2] + x4*params[3] - 3;
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// make an empty system
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bertini::System Sys;
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// add the functions. we could elide the `auto` construction above and construct directly into the system if we wanted
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Sys.AddFunction(f1);
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Sys.AddFunction(f2);
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Sys.AddFunction(f3);
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Sys.AddFunction(f4);
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// make an affine variable group
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bertini::VariableGroup vg{x1, x2, x3, x4};
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Sys.AddVariableGroup(vg);
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return Sys;
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}
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auto ConstructStart(bertini::System const& sys)
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{
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return bertini::start_system::TotalDegree(sys);
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}
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template <typename StartT>
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auto ConstructHomotopy(bertini::System const& target_sys, StartT const& start_sys)
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{
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using bertini::Variable::Make;
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auto t = Variable::Make("t");
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auto gamma = bertini::Rational::Make(bertini::node::Rational::Rand());
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return (1-t)*target_sys + gamma*t*start_sys;
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}
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} // namespace demo
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@@ -0,0 +1,82 @@
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#pragma once
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#include <bertini2/nag_algorithms/zero_dim_solve.hpp>
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#include <bertini2/nag_algorithms/output.hpp>
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#include <bertini2/endgames.hpp>
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#include <bertini2/system.hpp>
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namespace demo{
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using TrackerT = bertini::tracking::AMPTracker;
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using Tolerances = bertini::algorithm::TolerancesConfig;
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using EndgameConfT = bertini::endgame::EndgameConfig;
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auto StepOne(bertini::System const& sys)
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{
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using namespace bertini;
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using namespace algorithm;
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using EndgameT = typename endgame::EndgameSelector<TrackerT>::Cauchy;
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auto zd = bertini::algorithm::ZeroDim<TrackerT, EndgameT, bertini::System, bertini::start_system::TotalDegree>(sys);
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zd.DefaultSetup();
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auto tols = zd.Get<Tolerances>();
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tols.newton_before_endgame = 1e-5;
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tols.newton_during_endgame = 1e-6;
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zd.Set(tols);
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auto& tr = zd.GetTracker();
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tr.SetPredictor(bertini::tracking::Predictor::HeunEuler);
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tracking::GoryDetailLogger<TrackerT> tr_logger;
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// tr.AddObserver(&tr_logger);
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endgame::GoryDetailLogger<EndgameT> eg_logger;
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zd.GetEndgame().AddObserver(&eg_logger);
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auto eg = zd.GetFromEndgame<EndgameConfT>();
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eg.final_tolerance = 1e-11;
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zd.SetToEndgame(eg);
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zd.Solve();
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return output::NonsingularSolutions::Extract(zd);
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}
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template <typename SolnContT>
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auto StepTwo(bertini::System const& target_sys, bertini::System const& start_sys, bertini::System const& homotopy, SolnContT const& solns)
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{
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using namespace bertini;
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using namespace tracking;
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using namespace algorithm;
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auto userss = bertini::start_system::User(start_sys, solns);
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auto zd = bertini::algorithm::ZeroDim<TrackerT, typename bertini::endgame::EndgameSelector<TrackerT>::Cauchy, bertini::System, bertini::start_system::User, bertini::policy::RefToGiven>(target_sys, userss, homotopy);
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zd.DefaultSetup();
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zd.GetTracker().SetPredictor(bertini::tracking::Predictor::HeunEuler);
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auto tols = zd.Get<Tolerances>();
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tols.newton_before_endgame = 1e-6;
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tols.newton_during_endgame = 1e-7;
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zd.Set(tols);
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auto eg = zd.GetFromEndgame<EndgameConfT>();
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eg.final_tolerance = 1e-12;
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zd.SetToEndgame(eg);
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zd.Solve();
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return output::AllSolutions::Extract(zd);
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}
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} // namespace demo
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46
core/example/parameter_homotopy/include/random.hpp
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46
core/example/parameter_homotopy/include/random.hpp
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// a little bit of code to generate random real numbers, either integral or floating point.
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#include <random>
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#include <iostream>
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#pragma once
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namespace demo{
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template<typename T>
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struct Random
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{
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static
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T Generate()
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{
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static_assert(std::is_arithmetic<T>::value, "must use an arithmetic type");
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return Generate(std::is_integral<T>());
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}
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private:
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static
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T Generate(std::true_type)
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{
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static std::random_device rd;
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static std::default_random_engine gen(rd());
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static std::uniform_int_distribution<T> dist(std::numeric_limits<T>::min(),std::numeric_limits<T>::max());
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return dist(gen);
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}
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static
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T Generate(std::false_type)
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{
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static std::random_device rd;
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static std::default_random_engine gen(rd());
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static std::uniform_real_distribution<T> dist(T{-1},T{1});
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return dist(gen);
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}
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};
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}
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72
core/example/parameter_homotopy/src/main.cpp
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72
core/example/parameter_homotopy/src/main.cpp
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#include "parameter_homotopy.hpp"
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#include "random.hpp"
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#include "my_system.hpp"
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#include <chrono>
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int main()
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{
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bertini::LoggingInit();
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auto step1_params = demo::MakeStep1Parameters();
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auto target_sys_step1 = demo::ConstructSystem(step1_params);
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std::cout << "your target_system for step 1:\n\n";
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std::cout << target_sys_step1 << '\n';
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std::cout << "\n\nwith parameter values:\n\n";
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for (const auto& p : step1_params)
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std::cout << p << " ";
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std::cout << '\n';
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// now to solve the start system.
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auto stepone_solutions = demo::StepOne(target_sys_step1);
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std::cout << "done computing the " << stepone_solutions.size() << " step1 solutions, and here they are: \n";
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for (auto& iter : stepone_solutions)
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std::cout << iter << '\n' << '\n';
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auto t = bertini::Variable::Make("t");
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auto step2_stuff = demo::MakeStep2Parameters(step1_params, t);
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auto homotopy_sys_step2 = demo::ConstructSystem(std::get<0>(step2_stuff));
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homotopy_sys_step2.AddPathVariable(t);
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auto target_sys_step2 = demo::ConstructSystem(std::get<1>(step2_stuff));
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int num_to_step2s = 100;
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auto start_allstep2 = std::chrono::high_resolution_clock::now();
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for (int ii=0; ii<num_to_step2s; ii++)
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{
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auto start_iteration = std::chrono::high_resolution_clock::now();
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bertini::DefaultPrecision(30);
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// iterate over the parameter values. set the
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for (auto& p : std::get<1>(step2_stuff))
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{
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bertini::mpfr v;
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bertini::RandomReal(v, 30);
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p->precision(30);
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p->set_current_value(bertini::dbl(v));
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p->set_current_value(v);
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}
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bertini::DefaultPrecision(16);
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// std::cout << "your target system for step2:\n" << target_sys_step2 << '\n';
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// for (auto& p : std::get<1>(step2_stuff))
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// std::cout << "solving for parameter values " << *p << " " << p->Eval<bertini::dbl>() << '\n';
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auto steptwo_solutions = demo::StepTwo(target_sys_step2, target_sys_step1, homotopy_sys_step2, stepone_solutions);
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// std::cout << "done computing the " << steptwo_solutions.size() << " step2 solutions, and here they are: \n";
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// for (auto& iter : steptwo_solutions)
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// std::cout << iter << '\n' << '\n';
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std::cout << (std::chrono::high_resolution_clock::now() - start_iteration).count() << '\n';
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}
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std::cout << "solving " << num_to_step2s << " " << (std::chrono::high_resolution_clock::now() - start_allstep2).count() << '\n';
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return 0;
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}
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