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| gtsam::GTSAM_MAKE_MATRIX_DEFS (1) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (2) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (3) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (4) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (5) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (6) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (7) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (8) |
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| gtsam::GTSAM_MAKE_MATRIX_DEFS (9) |
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template<class MATRIX > |
bool | gtsam::equal_with_abs_tol (const Eigen::DenseBase< MATRIX > &A, const Eigen::DenseBase< MATRIX > &B, double tol=1e-9) |
| equals with a tolerance
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bool | gtsam::operator== (const Matrix &A, const Matrix &B) |
| equality is just equal_with_abs_tol 1e-9
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bool | gtsam::operator!= (const Matrix &A, const Matrix &B) |
| inequality
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bool | gtsam::assert_equal (const Matrix &A, const Matrix &B, double tol=1e-9) |
| equals with an tolerance, prints out message if unequal
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bool | gtsam::assert_inequal (const Matrix &A, const Matrix &B, double tol=1e-9) |
| inequals with an tolerance, prints out message if within tolerance
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bool | gtsam::assert_equal (const std::list< Matrix > &As, const std::list< Matrix > &Bs, double tol=1e-9) |
| equals with an tolerance, prints out message if unequal
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bool | gtsam::linear_independent (const Matrix &A, const Matrix &B, double tol=1e-9) |
| check whether the rows of two matrices are linear independent
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bool | gtsam::linear_dependent (const Matrix &A, const Matrix &B, double tol=1e-9) |
| check whether the rows of two matrices are linear dependent
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Vector | gtsam::operator^ (const Matrix &A, const Vector &v) |
| overload ^ for trans(A)*v We transpose the vectors for speed.
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template<class MATRIX > |
MATRIX | gtsam::prod (const MATRIX &A, const MATRIX &B) |
| products using old-style format to improve compatibility
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void | gtsam::print (const Matrix &A, const std::string &s, std::ostream &stream) |
| print without optional string, must specify cout yourself
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void | gtsam::print (const Matrix &A, const std::string &s="") |
| print with optional string to cout
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void | gtsam::save (const Matrix &A, const std::string &s, const std::string &filename) |
| save a matrix to file, which can be loaded by matlab
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istream & | gtsam::operator>> (std::istream &inputStream, Matrix &destinationMatrix) |
| Read a matrix from an input stream, such as a file. More...
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template<class MATRIX > |
Eigen::Block< const MATRIX > | gtsam::sub (const MATRIX &A, size_t i1, size_t i2, size_t j1, size_t j2) |
| extract submatrix, slice semantics, i.e. More...
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template<typename Derived1 , typename Derived2 > |
void | gtsam::insertSub (Eigen::MatrixBase< Derived1 > &fullMatrix, const Eigen::MatrixBase< Derived2 > &subMatrix, size_t i, size_t j) |
| insert a submatrix IN PLACE at a specified location in a larger matrix NOTE: there is no size checking More...
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Matrix | gtsam::diag (const std::vector< Matrix > &Hs) |
| Create a matrix with submatrices along its diagonal.
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template<class MATRIX > |
const MATRIX::ConstColXpr | gtsam::column (const MATRIX &A, size_t j) |
| Extracts a column view from a matrix that avoids a copy. More...
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template<class MATRIX > |
const MATRIX::ConstRowXpr | gtsam::row (const MATRIX &A, size_t j) |
| Extracts a row view from a matrix that avoids a copy. More...
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template<class MATRIX > |
void | gtsam::zeroBelowDiagonal (MATRIX &A, size_t cols=0) |
| Zeros all of the elements below the diagonal of a matrix, in place. More...
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Matrix | gtsam::trans (const Matrix &A) |
| static transpose function, just calls Eigen transpose member function
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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) |
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pair< Matrix, Matrix > | gtsam::qr (const Matrix &A) |
| Householder QR factorization, Golub & Van Loan p 224, explicit version. More...
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void | gtsam::inplace_QR (Matrix &A) |
| QR factorization using Eigen's internal block QR algorithm. More...
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list< boost::tuple< Vector, double, double > > | gtsam::weighted_eliminate (Matrix &A, Vector &b, const Vector &sigmas) |
| Imperative algorithm for in-place full elimination with weights and constraint handling. More...
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void | gtsam::householder_ (Matrix &A, size_t k, bool copy_vectors) |
| Imperative version of Householder QR factorization, Golub & Van Loan p 224 version with Householder vectors below diagonal, as in GVL. More...
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void | gtsam::householder (Matrix &A, size_t k) |
| Householder tranformation, zeros below diagonal. More...
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Vector | gtsam::backSubstituteUpper (const Matrix &U, const Vector &b, bool unit=false) |
| backSubstitute U*x=b More...
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Vector | gtsam::backSubstituteUpper (const Vector &b, const Matrix &U, bool unit=false) |
| backSubstitute x'*U=b' More...
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Vector | gtsam::backSubstituteLower (const Matrix &L, const Vector &b, bool unit=false) |
| backSubstitute L*x=b More...
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Matrix | gtsam::stack (size_t nrMatrices,...) |
| create a matrix by stacking other matrices Given a set of matrices: A1, A2, A3... More...
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Matrix | gtsam::stack (const std::vector< Matrix > &blocks) |
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Matrix | gtsam::collect (const std::vector< const Matrix * > &matrices, size_t m=0, size_t n=0) |
| create a matrix by concatenating Given a set of matrices: A1, A2, A3... More...
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Matrix | gtsam::collect (size_t nrMatrices,...) |
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void | gtsam::vector_scale_inplace (const Vector &v, Matrix &A, bool inf_mask=false) |
| scales a matrix row or column by the values in a vector Arguments (Matrix, Vector) scales the columns, (Vector, Matrix) scales the rows More...
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Matrix | gtsam::vector_scale (const Vector &v, const Matrix &A, bool inf_mask) |
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Matrix | gtsam::vector_scale (const Matrix &A, const Vector &v, bool inf_mask) |
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Matrix3 | gtsam::skewSymmetric (double wx, double wy, double wz) |
| skew symmetric matrix returns this: 0 -wz wy wz 0 -wx -wy wx 0 More...
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template<class Derived > |
Matrix3 | gtsam::skewSymmetric (const Eigen::MatrixBase< Derived > &w) |
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Matrix | gtsam::inverse_square_root (const Matrix &A) |
| Use Cholesky to calculate inverse square root of a matrix.
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Matrix | gtsam::cholesky_inverse (const Matrix &A) |
| Return the inverse of a S.P.D. More...
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void | gtsam::svd (const Matrix &A, Matrix &U, Vector &S, Matrix &V) |
| SVD computes economy SVD A=U*S*V'. More...
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boost::tuple< int, double, Vector > | gtsam::DLT (const Matrix &A, double rank_tol=1e-9) |
| Direct linear transform algorithm that calls svd to find a vector v that minimizes the algebraic error A*v. More...
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Matrix | gtsam::expm (const Matrix &A, size_t K=7) |
| Numerical exponential map, naive approach, not industrial strength !!! More...
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std::string | gtsam::formatMatrixIndented (const std::string &label, const Matrix &matrix, bool makeVectorHorizontal) |
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Matrix | gtsam::LLt (const Matrix &A) |
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Matrix | gtsam::RtR (const Matrix &A) |
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Vector | gtsam::columnNormSquare (const Matrix &A) |
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template<class Archive > |
void | boost::serialization::save (Archive &ar, const gtsam::Matrix &m, unsigned int) |
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template<class Archive > |
void | boost::serialization::load (Archive &ar, gtsam::Matrix &m, unsigned int) |
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| BOOST_SERIALIZATION_SPLIT_FREE (gtsam::Matrix) |
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