#include "debug.hh"
#include <boost/version.hpp>
#include <cstring>
#include <algorithm>
#include <sstream>
#include "roboptim/core/util.hh"
Namespaces | |
namespace | roboptim |
defined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION) | |
namespace | roboptim::detail |
Functions | |
ROBOPTIM_CORE_DLLAPI void | roboptim::detail::vector_to_array (Function::value_type *dst, Function::const_vector_ref src) |
ROBOPTIM_HAS_FENV_H. More... | |
ROBOPTIM_CORE_DLLAPI void | roboptim::detail::array_to_vector (Function::vector_ref dst, const Function::value_type *src) |
ROBOPTIM_CORE_DLLAPI const std::string | roboptim::demangle (const char *name) |
Demangle (if available). More... | |
ROBOPTIM_CORE_DLLAPI GenericFunctionTraits < EigenMatrixDense >::matrix_t | roboptim::sparse_to_dense (GenericFunctionTraits< EigenMatrixSparse >::const_matrix_ref m) |
Convert a sparse matrix into a dense matrix. More... | |
ROBOPTIM_CORE_DLLAPI GenericFunctionTraits < EigenMatrixDense >::vector_t | roboptim::sparse_to_dense (GenericFunctionTraits< EigenMatrixSparse >::const_gradient_ref v) |
Convert a sparse vector into a dense vector. More... | |
ROBOPTIM_CORE_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. More... | |
ROBOPTIM_CORE_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. More... | |
GenericFunctionTraits < EigenMatrixDense > ::const_gradient_ref | roboptim::toDense (GenericFunctionTraits< EigenMatrixDense >::const_gradient_ref m) |
ROBOPTIM_CORE_DLLAPI GenericFunctionTraits < EigenMatrixDense > ::gradient_t | roboptim::toDense (GenericFunctionTraits< EigenMatrixSparse >::const_gradient_ref g) |
Convert an input gradient to a dense gradient (e.g. More... | |
ROBOPTIM_CORE_DLLAPI GenericFunctionTraits < EigenMatrixDense > ::const_matrix_ref | roboptim::toDense (GenericFunctionTraits< EigenMatrixDense >::const_matrix_ref m) |
Convert an input matrix to a dense matrix (e.g. More... | |
ROBOPTIM_CORE_DLLAPI GenericFunctionTraits < EigenMatrixDense >::matrix_t | roboptim::toDense (GenericFunctionTraits< EigenMatrixSparse >::const_matrix_ref m) |
Convert an input matrix to a dense matrix (e.g. More... | |
ROBOPTIM_CORE_DLLAPI std::vector< std::string > | roboptim::split (const std::string &s, char d) |
Split a string on a given delimiter. More... | |