math/matrix.hpp File Reference

#include "pinocchio/macros.hpp"
#include "pinocchio/math/fwd.hpp"
#include <Eigen/Core>
#include <boost/type_traits.hpp>

Include dependency graph for math/matrix.hpp:

Go to the source code of this file.

Classes
struct	pinocchio::internal::CallCorrectMatrixInverseAccordingToScalar< Scalar >
struct	pinocchio::internal::isNormalizedAlgo< VectorLike, value >
struct	pinocchio::internal::isNormalizedAlgo< VectorLike, false >
struct	pinocchio::internal::isUnitaryAlgo< MatrixLike, value >
struct	pinocchio::internal::isUnitaryAlgo< MatrixLike, false >
struct	pinocchio::internal::isZeroAlgo< MatrixLike, value >
struct	pinocchio::internal::isZeroAlgo< MatrixLike, false >
struct	pinocchio::MatrixMatrixProduct< M1, M2 >
struct	pinocchio::MatrixScalarProduct< Matrix, Scalar >
struct	pinocchio::ScalarMatrixProduct< Scalar, Matrix >

Namespaces
	pinocchio
	Main pinocchio namespace.
	pinocchio::internal

Functions
template<typename Derived >
bool	pinocchio::hasNaN (const Eigen::DenseBase< Derived > &m)
template<typename MatrixIn , typename MatrixOut >
void	pinocchio::inverse (const Eigen::MatrixBase< MatrixIn > &m_in, const Eigen::MatrixBase< MatrixOut > &dest)
template<typename VectorLike >
bool	pinocchio::isNormalized (const Eigen::MatrixBase< VectorLike > &vec, const typename VectorLike::RealScalar &prec=Eigen::NumTraits< typename VectorLike::Scalar >::dummy_precision())
	Check whether the input vector is Normalized within the given precision. More...
template<typename MatrixLike >
bool	pinocchio::isUnitary (const Eigen::MatrixBase< MatrixLike > &mat, const typename MatrixLike::RealScalar &prec=Eigen::NumTraits< typename MatrixLike::Scalar >::dummy_precision())
	Check whether the input matrix is Unitary within the given precision. More...
template<typename MatrixLike >
bool	pinocchio::isZero (const Eigen::MatrixBase< MatrixLike > &m, const typename MatrixLike::RealScalar &prec=Eigen::NumTraits< typename MatrixLike::Scalar >::dummy_precision())