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cpp/examples/toy_homotopy/CMakeLists.txt
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cpp/examples/toy_homotopy/CMakeLists.txt
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set(CMAKE_BuilD_TYPE Release)
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set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
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add_executable(toy_homotopy toy_homotopy.cpp)
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target_link_libraries(toy_homotopy PRIVATE hccd spdlog::spdlog Eigen3::Eigen)
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target_include_directories(toy_homotopy PRIVATE hccd lib/argparse/include)
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2739
cpp/examples/toy_homotopy/argparse.hpp
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2739
cpp/examples/toy_homotopy/argparse.hpp
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187
cpp/examples/toy_homotopy/toy_homotopy.cpp
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cpp/examples/toy_homotopy/toy_homotopy.cpp
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// STL includes
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#include <expected>
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// Library includes
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#include <hccd/PathTracker.hpp>
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#include <hccd/util.hpp>
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#include <spdlog/spdlog.h>
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// Project includes
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#include "argparse.hpp"
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//
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//
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// Homotopy definition
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//
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//
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///
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/// @brief Helper type implementing necessary functions for PathTracker
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/// @details Toy example homotopy:
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/// G = [[x1],
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/// [x2]]
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///
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/// F = [[x1 + x2 ],
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/// [x2 + 0.5]]
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///
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/// H = (1-t)*G + t*F
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///
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/// @details Note that
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/// y := [[x1],
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/// [x2],
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/// [t]]
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///
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struct ToyHomotopy {
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///
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/// @brief Evaluate H at y
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///
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static Eigen::VectorXd evaluate_H(Eigen::VectorXd y) {
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Eigen::VectorXd result(2);
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double x1 = y(0);
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double x2 = y(1);
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double t = y(2);
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result(0) = x1 + t * x2;
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result(1) = x2 + t * 0.5;
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return result;
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}
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///
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/// @brief Evaluate Jacobian of H at y
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///
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static Eigen::MatrixXd evaluate_DH(Eigen::VectorXd y) {
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Eigen::MatrixXd result(2, 3);
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double x1 = y(0);
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double x2 = y(1);
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double t = y(2);
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result(0, 0) = 1;
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result(0, 1) = t;
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result(0, 2) = x2;
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result(1, 0) = 0;
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result(1, 1) = 1;
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result(1, 2) = 0.5;
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return result;
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}
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};
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//
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//
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// Perform path tracking
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//
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//
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void tracker_example(hccd::Settings settings, std::size_t num_iterations,
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std::string output = "temp.csv") {
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hccd::PathTracker<ToyHomotopy> tracker{settings};
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std::ofstream out;
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if (output != "") {
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out.open(output);
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out << "x1b," << "x2b," << "tb," << "x1p," << "x2p," << "tp," << "x1e,"
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<< "x2e," << "te," << "x1n," << "x2n," << "tn," << std::endl;
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}
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Eigen::VectorXd y = Eigen::VectorXd::Zero(3);
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for (int i = 0; i < num_iterations; ++i) {
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spdlog::info("Iteration {}", i);
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auto res = tracker.transparent_step(y);
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if (!res) {
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spdlog::error(
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"Newton corrector failed to converge on iteration {} ", i);
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std::terminate();
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}
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Eigen::VectorXd y_start, y_prime, y_hat_e;
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std::tie(y_start, y_prime, y_hat_e, y) = res.value();
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spdlog::info("y:{}", y);
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if (output != "") {
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out << y_start(0) << "," << y_start(1) << "," << y_start(2) << ","
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<< y_prime(0) << "," << y_prime(1) << "," << y_prime(2) << ","
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<< y_hat_e(0) << "," << y_hat_e(1) << "," << y_hat_e(2) << ","
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<< y(0) << "," << y(1) << "," << y(2) << std::endl;
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}
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}
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}
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//
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//
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// User Interface
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//
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//
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int main(int argc, char* argv[]) {
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// Parse command line arguments
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argparse::ArgumentParser program("Homotopy continuation path tracker");
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program.add_argument("--verbose")
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.default_value<bool>(false)
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.implicit_value(true);
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program.add_argument("--euler-step-size")
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.help("Step size for Euler predictor")
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.default_value<double>(0.05)
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.scan<'g', double>();
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program.add_argument("--euler-max-tries")
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.help("Maximum number of tries for Euler predictor")
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.default_value<unsigned>(5)
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.scan<'u', unsigned>();
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program.add_argument("--newton-max-iter")
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.help("Maximum number of iterations for Newton corrector")
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.default_value<unsigned>(5)
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.scan<'u', unsigned>();
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program.add_argument("--newton-convergence-threshold")
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.help("Convergence threshold for Newton corrector")
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.default_value<double>(0.01)
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.scan<'g', double>();
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program.add_argument("-s", "--sigma")
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.help("Direction in which the path is traced")
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.default_value<int>(1)
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.scan<'i', int>();
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program.add_argument("-o", "--output")
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.help("Output csv file")
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.default_value<std::string>("");
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program.add_argument("-n", "--num-iterations")
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.help("Number of iterations of the example program to run")
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.default_value<std::size_t>(20)
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.scan<'u', std::size_t>();
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try {
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program.parse_args(argc, argv);
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} catch (const std::runtime_error& err) {
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spdlog::error("{}", err.what());
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std::terminate();
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}
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// Run program
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if (program["--verbose"] == true) spdlog::set_level(spdlog::level::debug);
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hccd::Settings settings{
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.euler_step_size = program.get<double>("--euler-step-size"),
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.euler_max_tries = program.get<unsigned>("--euler-max-tries"),
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.newton_max_iter = program.get<unsigned>("--newton-max-iter"),
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.newton_convergence_threshold =
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program.get<double>("--newton-convergence-threshold"),
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.sigma = program.get<int>("--sigma"),
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};
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tracker_example(settings, program.get<std::size_t>("--num-iterations"),
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program.get<std::string>("--output"));
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}
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