Namespaces | |
| namespace | roboptim |
Meta-functions, functions and solver-related classes. | |
| 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. | |
