Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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#include <limits>
#include <optional>
#include <random>
#include "Eigen/Core"
#include "ortools/pdlp/sharded_quadratic_program.h"
#include "ortools/pdlp/sharder.h"
#include "ortools/pdlp/solve_log.pb.h"
Go to the source code of this file.
Namespaces | |
namespace | operations_research |
In SWIG mode, we don't want anything besides these top-level includes. | |
namespace | operations_research::pdlp |
Validation utilities for solvers.proto. | |
Functions | |
QuadraticProgramStats | operations_research::pdlp::ComputeStats (const ShardedQuadraticProgram &qp) |
Returns a QuadraticProgramStats for a ShardedQuadraticProgram . | |
void | operations_research::pdlp::LInfRuizRescaling (const ShardedQuadraticProgram &sharded_qp, int num_iterations, Eigen::VectorXd &row_scaling_vec, Eigen::VectorXd &col_scaling_vec) |
void | operations_research::pdlp::L2NormRescaling (const ShardedQuadraticProgram &sharded_qp, Eigen::VectorXd &row_scaling_vec, Eigen::VectorXd &col_scaling_vec) |
ScalingVectors | operations_research::pdlp::ApplyRescaling (const RescalingOptions &rescaling_options, ShardedQuadraticProgram &sharded_qp) |
LagrangianPart | operations_research::pdlp::ComputePrimalGradient (const ShardedQuadraticProgram &sharded_qp, const Eigen::VectorXd &primal_solution, const Eigen::VectorXd &dual_product) |
double | operations_research::pdlp::DualSubgradientCoefficient (const double constraint_lower_bound, const double constraint_upper_bound, const double dual, const double primal_product) |
LagrangianPart | operations_research::pdlp::ComputeDualGradient (const ShardedQuadraticProgram &sharded_qp, const Eigen::VectorXd &dual_solution, const Eigen::VectorXd &primal_product) |
SingularValueAndIterations | operations_research::pdlp::EstimateMaximumSingularValueOfConstraintMatrix (const ShardedQuadraticProgram &sharded_qp, const std::optional< Eigen::VectorXd > &primal_solution, const std::optional< Eigen::VectorXd > &dual_solution, double desired_relative_error, double failure_probability, std::mt19937 &mt_generator) |
bool | operations_research::pdlp::HasValidBounds (const ShardedQuadraticProgram &sharded_qp) |
void | operations_research::pdlp::ProjectToPrimalVariableBounds (const ShardedQuadraticProgram &sharded_qp, Eigen::VectorXd &primal, bool use_feasibility_bounds=false) |
void | operations_research::pdlp::ProjectToDualVariableBounds (const ShardedQuadraticProgram &sharded_qp, Eigen::VectorXd &dual) |