#include <gtsam/base/OptionalJacobian.h>#include <gtsam/base/Vector.h>#include <gtsam/config.h>#include <boost/format.hpp>#include <boost/function.hpp>#include <boost/tuple/tuple.hpp>#include <boost/math/special_functions/fpclassify.hpp>#include <boost/serialization/nvp.hpp>#include <boost/serialization/array.hpp>#include <boost/serialization/split_free.hpp>
Include dependency graph for base/Matrix.h:
Go to the source code of this file.
Classes | |
| struct | gtsam::MultiplyWithInverse< N > |
| struct | gtsam::MultiplyWithInverseFunction< T, N > |
| struct | gtsam::Reshape< OutM, OutN, OutOptions, InM, InN, InOptions > |
| Reshape functor. More... | |
| struct | gtsam::Reshape< M, M, InOptions, M, M, InOptions > |
| Reshape specialization that does nothing as shape stays the same (needed to not be ambiguous for square input equals square output) More... | |
| struct | gtsam::Reshape< M, N, InOptions, M, N, InOptions > |
| Reshape specialization that does nothing as shape stays the same. More... | |
| struct | gtsam::Reshape< N, M, InOptions, M, N, InOptions > |
| Reshape specialization that does transpose. More... | |
Namespaces | |
| boost | |
| boost::serialization | |
| gtsam | |
| traits | |
Macros | |
| #define | GTSAM_MAKE_MATRIX_DEFS(N) |
Typedefs | |
| typedef Eigen::Block< const Matrix > | gtsam::ConstSubMatrix |
| typedef Eigen::MatrixXd | gtsam::Matrix |
| typedef Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor > | gtsam::MatrixRowMajor |
| typedef Eigen::Block< Matrix > | gtsam::SubMatrix |
Functions | |
| bool | gtsam::assert_equal (const Matrix &expected, const Matrix &actual, double tol) |
| bool | gtsam::assert_equal (const std::list< Matrix > &As, const std::list< Matrix > &Bs, double tol) |
| bool | gtsam::assert_inequal (const Matrix &A, const Matrix &B, double tol) |
| Vector | gtsam::backSubstituteLower (const Matrix &L, const Vector &b, bool unit) |
| Vector | gtsam::backSubstituteUpper (const Matrix &U, const Vector &b, bool unit) |
| Vector | gtsam::backSubstituteUpper (const Vector &b, const Matrix &U, bool unit) |
| Matrix | gtsam::cholesky_inverse (const Matrix &A) |
| Matrix | gtsam::collect (const std::vector< const Matrix * > &matrices, size_t m, size_t n) |
| Matrix | gtsam::collect (size_t nrMatrices,...) |
| template<class MATRIX > | |
| const MATRIX::ConstColXpr | gtsam::column (const MATRIX &A, size_t j) |
| Vector | gtsam::columnNormSquare (const Matrix &A) |
| Matrix | gtsam::diag (const std::vector< Matrix > &Hs) |
| boost::tuple< int, double, Vector > | gtsam::DLT (const Matrix &A, double rank_tol) |
| template<class MATRIX > | |
| bool | gtsam::equal_with_abs_tol (const Eigen::DenseBase< MATRIX > &A, const Eigen::DenseBase< MATRIX > &B, double tol=1e-9) |
| Matrix | gtsam::expm (const Matrix &A, size_t K) |
| std::string | gtsam::formatMatrixIndented (const std::string &label, const Matrix &matrix, bool makeVectorHorizontal) |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (1) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (2) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (3) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (4) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (5) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (6) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (7) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (8) | |
| gtsam::GTSAM_MAKE_MATRIX_DEFS (9) | |
| void | gtsam::householder (Matrix &A, size_t k) |
| void | gtsam::householder_ (Matrix &A, size_t k, bool copy_vectors) |
| void | gtsam::inplace_QR (Matrix &A) |
| template<typename Derived1 , typename Derived2 > | |
| void | gtsam::insertSub (Eigen::MatrixBase< Derived1 > &fullMatrix, const Eigen::MatrixBase< Derived2 > &subMatrix, size_t i, size_t j) |
| Matrix | gtsam::inverse_square_root (const Matrix &A) |
| bool | gtsam::linear_dependent (const Matrix &A, const Matrix &B, double tol) |
| bool | gtsam::linear_independent (const Matrix &A, const Matrix &B, double tol) |
| Matrix | gtsam::LLt (const Matrix &A) |
| template<class Archive , typename Scalar_ , int Rows_, int Cols_, int Ops_, int MaxRows_, int MaxCols_> | |
| void | boost::serialization::load (Archive &ar, Eigen::Matrix< Scalar_, Rows_, Cols_, Ops_, MaxRows_, MaxCols_ > &m, const unsigned int) |
| const Eigen::IOFormat & | gtsam::matlabFormat () |
| bool | gtsam::operator!= (const Matrix &A, const Matrix &B) |
| bool | gtsam::operator== (const Matrix &A, const Matrix &B) |
| GTSAM_EXPORT std::istream & | gtsam::operator>> (std::istream &inputStream, Matrix &destinationMatrix) |
| Vector | gtsam::operator^ (const Matrix &A, const Vector &v) |
| GTSAM_EXPORT void | gtsam::print (const Matrix &A, const std::string &s, std::ostream &stream) |
| GTSAM_EXPORT void | gtsam::print (const Matrix &A, const std::string &s="") |
| template<class MATRIX > | |
| MATRIX | gtsam::prod (const MATRIX &A, const MATRIX &B) |
| pair< Matrix, Matrix > | gtsam::qr (const Matrix &A) |
| template<int OutM, int OutN, int OutOptions, int InM, int InN, int InOptions> | |
| Reshape< OutM, OutN, OutOptions, InM, InN, InOptions >::ReshapedType | gtsam::reshape (const Eigen::Matrix< double, InM, InN, InOptions > &m) |
| template<class MATRIX > | |
| const MATRIX::ConstRowXpr | gtsam::row (const MATRIX &A, size_t j) |
| Matrix | gtsam::RtR (const Matrix &A) |
| GTSAM_EXPORT void | gtsam::save (const Matrix &A, const std::string &s, const std::string &filename) |
| template<class Archive , typename Scalar_ , int Rows_, int Cols_, int Ops_, int MaxRows_, int MaxCols_> | |
| void | boost::serialization::save (Archive &ar, const Eigen::Matrix< Scalar_, Rows_, Cols_, Ops_, MaxRows_, MaxCols_ > &m, const unsigned int) |
| template<class Archive , typename Scalar_ , int Rows_, int Cols_, int Ops_, int MaxRows_, int MaxCols_> | |
| void | boost::serialization::serialize (Archive &ar, Eigen::Matrix< Scalar_, Rows_, Cols_, Ops_, MaxRows_, MaxCols_ > &m, const unsigned int version) |
| template<class Archive > | |
| void | boost::serialization::serialize (Archive &ar, gtsam::Matrix &m, const unsigned int version) |
| Matrix3 | gtsam::skewSymmetric (double wx, double wy, double wz) |
| template<class Derived > | |
| Matrix3 | gtsam::skewSymmetric (const Eigen::MatrixBase< Derived > &w) |
| Matrix | gtsam::stack (size_t nrMatrices,...) |
| Matrix | gtsam::stack (const std::vector< Matrix > &blocks) |
| template<class MATRIX > | |
| Eigen::Block< const MATRIX > | gtsam::sub (const MATRIX &A, size_t i1, size_t i2, size_t j1, size_t j2) |
| void | gtsam::svd (const Matrix &A, Matrix &U, Vector &S, Matrix &V) |
| Matrix | gtsam::trans (const Matrix &A) |
| Matrix | gtsam::vector_scale (const Vector &v, const Matrix &A, bool inf_mask) |
| Matrix | gtsam::vector_scale (const Matrix &A, const Vector &v, bool inf_mask) |
| void | gtsam::vector_scale_inplace (const Vector &v, Matrix &A, bool inf_mask) |
| list< boost::tuple< Vector, double, double > > | gtsam::weighted_eliminate (Matrix &A, Vector &b, const Vector &sigmas) |
| template<class MATRIX > | |
| void | gtsam::zeroBelowDiagonal (MATRIX &A, size_t cols=0) |
Macro Definition Documentation
| #define GTSAM_MAKE_MATRIX_DEFS | ( | N | ) |
Value:
typedef Eigen::Matrix<double, 2, N> Matrix2##N; \
typedef Eigen::Matrix<double, 3, N> Matrix3##N; \
typedef Eigen::Matrix<double, 4, N> Matrix4##N; \
typedef Eigen::Matrix<double, 5, N> Matrix5##N; \
typedef Eigen::Matrix<double, 6, N> Matrix6##N; \
typedef Eigen::Matrix<double, 7, N> Matrix7##N; \
typedef Eigen::Matrix<double, 8, N> Matrix8##N; \
static const Eigen::MatrixBase<Matrix##N>::IdentityReturnType I_##N##x##N = Matrix##N::Identity(); \
Generic expression of a matrix where all coefficients are defined by a functor.
Definition: CwiseNullaryOp.h:60
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Definition: gnuplot_common_settings.hh:12
Definition at line 48 of file base/Matrix.h.