util.cc File Reference

#include "debug.hh"
#include <cstring>
#include <algorithm>
#include "roboptim/core/util.hh"

Include dependency graph for util.cc:

Namespaces
namespace	roboptim
	defined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION)
namespace	roboptim::detail

Functions
ROBOPTIM_DLLAPI void	roboptim::detail::vector_to_array (Function::value_type *dst, Function::const_vector_ref src)
ROBOPTIM_DLLAPI void	roboptim::detail::array_to_vector (Function::vector_ref dst, const Function::value_type *src)
ROBOPTIM_DLLAPI GenericFunctionTraits< EigenMatrixDense >::matrix_t	roboptim::sparse_to_dense (GenericFunctionTraits< EigenMatrixSparse >::const_matrix_ref m)
	Convert a sparse matrix into a dense matrix.
ROBOPTIM_DLLAPI GenericFunctionTraits< EigenMatrixDense >::vector_t	roboptim::sparse_to_dense (GenericFunctionTraits< EigenMatrixSparse >::const_gradient_ref v)
	Convert a sparse vector into a dense vector.
ROBOPTIM_DLLAPI bool	roboptim::allclose (const Eigen::Ref< const Eigen::MatrixXd > &a, const Eigen::Ref< const Eigen::MatrixXd > &b, double rtol=Eigen::NumTraits< double >::dummy_precision(), double atol=Eigen::NumTraits< double >::epsilon())
	Compare dense vectors (matrices) using both relative and absolute tolerances.
ROBOPTIM_DLLAPI bool	roboptim::allclose (const Eigen::SparseMatrix< double > &a, const Eigen::SparseMatrix< double > &b, double rtol=Eigen::NumTraits< double >::dummy_precision(), double atol=Eigen::NumTraits< double >::epsilon())
	Compare sparse vectors (matrices) using both relative and absolute tolerances.