sharder.h File Reference

#include <cstdint>
#include <functional>
#include <type_traits>
#include <vector>
#include "Eigen/Core"
#include "Eigen/SparseCore"
#include "absl/log/check.h"
#include "ortools/base/threadpool.h"

Go to the source code of this file.

Classes
class	operations_research::pdlp::Sharder
class	operations_research::pdlp::Sharder::Shard

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
Eigen::VectorXd	operations_research::pdlp::TransposedMatrixVectorProduct (const Eigen::SparseMatrix< double, Eigen::ColMajor, int64_t > &matrix, const Eigen::VectorXd &vector, const Sharder &sharder)
void	operations_research::pdlp::SetZero (const Sharder &sharder, Eigen::VectorXd &dest)
VectorXd	operations_research::pdlp::ZeroVector (const Sharder &sharder)
	Like VectorXd::Zero(sharder.NumElements()).
VectorXd	operations_research::pdlp::OnesVector (const Sharder &sharder)
	Like VectorXd::Ones(sharder.NumElements()).
void	operations_research::pdlp::AddScaledVector (double scale, const Eigen::VectorXd &increment, const Sharder &sharder, Eigen::VectorXd &dest)
	Like dest += scale * increment.
void	operations_research::pdlp::AssignVector (const Eigen::VectorXd &vec, const Sharder &sharder, Eigen::VectorXd &dest)
	Like dest = vec. dest is resized if needed.
Eigen::VectorXd	operations_research::pdlp::CloneVector (const Eigen::VectorXd &vec, const Sharder &sharder)
	Returns a copy of vec.
void	operations_research::pdlp::CoefficientWiseProductInPlace (const Eigen::VectorXd &scale, const Sharder &sharder, Eigen::VectorXd &dest)
	Like dest = dest.cwiseProduct(scale).
void	operations_research::pdlp::CoefficientWiseQuotientInPlace (const Eigen::VectorXd &scale, const Sharder &sharder, Eigen::VectorXd &dest)
	Like dest = dest.cwiseQuotient(scale).
double	operations_research::pdlp::Dot (const Eigen::VectorXd &v1, const Eigen::VectorXd &v2, const Sharder &sharder)
	Like v1.dot(v2).
double	operations_research::pdlp::LInfNorm (const Eigen::VectorXd &vector, const Sharder &sharder)
	Like vector.lpNorm<Eigen::Infinity>(), a.k.a. LInf norm.
double	operations_research::pdlp::L1Norm (const Eigen::VectorXd &vector, const Sharder &sharder)
	Like vector.lpNorm<1>(), a.k.a. L_1 norm.
double	operations_research::pdlp::SquaredNorm (const Eigen::VectorXd &vector, const Sharder &sharder)
	Like vector.squaredNorm().
double	operations_research::pdlp::Norm (const Eigen::VectorXd &vector, const Sharder &sharder)
	Like vector.norm().
double	operations_research::pdlp::SquaredDistance (const Eigen::VectorXd &vector1, const Eigen::VectorXd &vector2, const Sharder &sharder)
	Like (vector1 - vector2).squaredNorm().
double	operations_research::pdlp::Distance (const Eigen::VectorXd &vector1, const Eigen::VectorXd &vector2, const Sharder &sharder)
	Like (vector1 - vector2).norm().
double	operations_research::pdlp::ScaledLInfNorm (const Eigen::VectorXd &vector, const Eigen::VectorXd &scale, const Sharder &sharder)
	ScaledL1Norm is omitted because it's not needed (yet).
double	operations_research::pdlp::ScaledSquaredNorm (const Eigen::VectorXd &vector, const Eigen::VectorXd &scale, const Sharder &sharder)
double	operations_research::pdlp::ScaledNorm (const Eigen::VectorXd &vector, const Eigen::VectorXd &scale, const Sharder &sharder)
	L2 norm of a rescaled vector, i.e., vector.cwiseProduct(scale).norm().
Eigen::VectorXd	operations_research::pdlp::ScaledColLInfNorm (const Eigen::SparseMatrix< double, Eigen::ColMajor, int64_t > &matrix, const Eigen::VectorXd &row_scaling_vec, const Eigen::VectorXd &col_scaling_vec, const Sharder &sharder)
	Computes the LInf norm of each column of a scaled matrix.
Eigen::VectorXd	operations_research::pdlp::ScaledColL2Norm (const Eigen::SparseMatrix< double, Eigen::ColMajor, int64_t > &matrix, const Eigen::VectorXd &row_scaling_vec, const Eigen::VectorXd &col_scaling_vec, const Sharder &sharder)
	Computes the L2 norm of each column of a scaled matrix.