Class NonSymmetricIPM

template<typename IPMDouble> class NonSymmetricIPM

Public Types

enum Termination

Values:

enumerator SUCCESS

enumerator FAILURE

Public Functions

NonSymmetricIPM(Matrix &A_, Vector &b_, Vector &c_, LHSCB<IPMDouble> *barrier_)

inline NonSymmetricIPM(Instance<IPMDouble> &instance)

NonSymmetricIPM(Instance<IPMDouble>&, std::string)

template<typename T> inline void cast_members_from(const NonSymmetricIPM<T> &other)

template<typename T> inline NonSymmetricIPM<T> *cast_with_product_barrier()

inline IPMDouble calc_step_length_predictor()

int run_solver()

inline IPMDouble primal_error()

inline IPMDouble dual_error()

inline IPMDouble primal_error_rescaled()

inline IPMDouble dual_error_rescaled()

inline IPMDouble duality_gap()

inline IPMDouble complementarity()

inline bool verify_solution(IPMDouble precision = 10e-5)

inline Solution<IPMDouble> get_solution()

void initialize()

Public Members

std::shared_ptr<spdlog::logger> _logger

std::shared_ptr<spdlog::logger> _benchmark_logger

Matrix A

Vector b

Vector c

Eigen::SparseMatrix<IPMDouble> A_sparse

Matrix _basis_ker_A

Vector x

Vector y

Vector s

pt::ptree _config

unsigned _num_predictor_steps = 500

unsigned _num_corrector_steps

IPMDouble _param_step_length_predictor = 0.02

IPMDouble _step_length_predictor

IPMDouble _step_length_corrector

IPMDouble _epsilon = 10e-5

unsigned _total_num_line_steps

IPMDouble _large_neighborhood

IPMDouble _small_neighborhood

bool _check_centrality_in_every_segment = true

bool _type_cast_if_unsuccessful = true

bool _use_line_search = true

IPMDouble kappa

IPMDouble tau

Vector _last_predictor_direction

ErrorConstants<IPMDouble> _err_consts