/var/lib/jenkins/jobs/Skylark/workspace/examples/least_squares.cpp File Reference

#include <iostream>
#include <elemental.hpp>
#include <boost/mpi.hpp>
#include <boost/format.hpp>
#include <skylark.hpp>

Include dependency graph for least_squares.cpp:

Go to the source code of this file.

Typedefs
typedef elem::DistMatrix < double, elem::VC, elem::STAR >	matrix_type
typedef elem::DistMatrix < double, elem::VC, elem::STAR >	rhs_type
typedef elem::DistMatrix < double, elem::STAR, elem::STAR >	sol_type
Functions
template<typename MatrixType , typename RhsType , typename SolType >
void	check_solution (const MatrixType &A, const RhsType &b, const SolType &x, const RhsType &r0, double &res, double &resAtr, double &resFac)
int	main (int argc, char **argv)
Variables
const int	m = 50000
const int	n = 500

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Typedef Documentation

typedef elem::DistMatrix<double, elem::VC, elem::STAR> matrix_type

Definition at line 20 of file least_squares.cpp.

typedef elem::DistMatrix<double, elem::VC, elem::STAR> rhs_type

Definition at line 21 of file least_squares.cpp.

typedef elem::DistMatrix<double, elem::STAR, elem::STAR> sol_type

Definition at line 22 of file least_squares.cpp.

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Function Documentation

template<typename MatrixType , typename RhsType , typename SolType >

void check_solution	(	const MatrixType &	A,
		const RhsType &	b,
		const SolType &	x,
		const RhsType &	r0,
		double &	res,
		double &	resAtr,
		double &	resFac
	)

Definition at line 25 of file least_squares.cpp.

Referenced by main().

int main	(	int	argc,
		char **	argv
	)

Definition at line 42 of file least_squares.cpp.

References skylark::nla::ApproximateLeastSquares(), check_solution(), skylark::nla::FastLeastSquares(), m, and n.

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Variable Documentation

const int m = 50000

Definition at line 17 of file least_squares.cpp.

Referenced by skylark::utility::print_t< FullyDistMultiVec< IndexType, ValueType > >::apply(), skylark::nla::ChebyshevLS(), logisticloss::evaluate(), skylark::nla::LSQR(), main(), skylark::nla::iter_solver_op_t< SpParMat< IndexType, ValueType, SpDCCols< IndexType, ValueType > >, FullyDistMultiVec< IndexType, ValueType > >::mat_vec(), hingeloss::proxoperator(), logisticloss::proxoperator(), read_model_file(), skylark::algorithms::regression_solver_t< regression_problem_t< MatrixType, linear_tag, l2_tag, no_reg_tag >, RhsType, SolType, iterative_l2_solver_tag< KrylovMethod > >::solve(), test_main(), and skylark::base::Transpose().

const int n = 500

Definition at line 18 of file least_squares.cpp.

Referenced by skylark::algorithms::flinl2_internal::build_precond(), skylark::nla::ChebyshevLS(), squaredloss::evaluate(), ladloss::evaluate(), hingeloss::evaluate(), logisticloss::evaluate(), BlockADMMSolver< T >::InitializeTransformCache(), logexp(), logsumexp(), skylark::nla::LSQR(), main(), skylark::nla::iter_solver_op_t< SpParMat< IndexType, ValueType, SpDCCols< IndexType, ValueType > >, FullyDistMultiVec< IndexType, ValueType > >::mat_vec(), normsquare(), skylark::ml::model_t< InputType, OutputType >::predict(), squaredloss::proxoperator(), ladloss::proxoperator(), logisticloss::proxoperator(), read_model_file(), skylark::algorithms::regression_solver_t< regression_problem_t< MatrixType, linear_tag, l2_tag, no_reg_tag >, RhsType, SolType, iterative_l2_solver_tag< KrylovMethod > >::solve(), test_main(), skylark::base::Transpose(), and skylark::algorithms::flinl2_internal::utcondest().