Visual Servoing Platform
version 3.6.1 under development (2024-11-07)
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#include <visp3/core/vpSubMatrix.h>
Public Types | |
enum | vpDetMethod { LU_DECOMPOSITION } |
Public Member Functions | |
vpSubMatrix () | |
vpSubMatrix (vpMatrix &m, const unsigned int &row, const unsigned int &col, const unsigned int &nrows, const unsigned int &ncols) | |
virtual | ~vpSubMatrix () VP_OVERRIDE |
void | init (vpMatrix &m, const unsigned int &row, const unsigned int &col, const unsigned int &nrows, const unsigned int &ncols) |
void | checkParentStatus () const |
vpSubMatrix & | operator= (const vpSubMatrix &B) |
vpSubMatrix & | operator= (const vpMatrix &B) |
vpSubMatrix & | operator= (const double &x) |
void | clear () |
Setting a diagonal matrix <br> | |
void | diag (const double &val=1.0) |
void | diag (const vpColVector &A) |
void | eye () |
Assignment operators | |
vpMatrix & | operator<< (double *p) |
vpMatrix & | operator<< (double val) |
vpMatrix & | operator, (double val) |
Stacking <br> | |
void | stack (const vpMatrix &A) |
void | stack (const vpRowVector &r) |
void | stack (const vpColVector &c) |
void | stackColumns (vpColVector &out) |
vpColVector | stackColumns () |
void | stackRows (vpRowVector &out) |
vpRowVector | stackRows () |
Matrix insertion | |
void | insert (const vpMatrix &A, unsigned int r, unsigned int c) |
Inherited functionalities from vpArray2D | |
void | insert (const vpArray2D< double > &A, unsigned int r, unsigned int c) |
vpArray2D< double > | hadamard (const vpArray2D< double > &m) const |
unsigned int | getCols () const |
double | getMaxValue () const |
double | getMinValue () const |
unsigned int | getRows () const |
unsigned int | size () const |
void | resize (unsigned int nrows, unsigned int ncols, bool flagNullify=true, bool recopy_=true) |
void | reshape (unsigned int nrows, unsigned int ncols) |
bool | operator== (const vpArray2D< double > &A) const |
bool | operator!= (const vpArray2D< double > &A) const |
double * | operator[] (unsigned int i) |
double * | operator[] (unsigned int i) const |
Columns, rows, sub-matrices extraction | |
vpMatrix | extract (unsigned int r, unsigned int c, unsigned int nrows, unsigned int ncols) const |
vpColVector | getCol (unsigned int j) const |
vpColVector | getCol (unsigned int j, unsigned int i_begin, unsigned int size) const |
vpRowVector | getRow (unsigned int i) const |
vpRowVector | getRow (unsigned int i, unsigned int j_begin, unsigned int size) const |
vpColVector | getDiag () const |
void | init (const vpMatrix &M, unsigned int r, unsigned int c, unsigned int nrows, unsigned int ncols) |
Hadamard product <br> | |
vpMatrix | hadamard (const vpMatrix &m) const |
Kronecker product <br> | |
void | kron (const vpMatrix &m1, vpMatrix &out) const |
vpMatrix | kron (const vpMatrix &m1) const |
Transpose <br> | |
vpMatrix | t () const |
vpMatrix | transpose () const |
void | transpose (vpMatrix &At) const |
vpMatrix | AAt () const |
void | AAt (vpMatrix &B) const |
vpMatrix | AtA () const |
void | AtA (vpMatrix &B) const |
Matrix inversion <br> | |
vpMatrix | inverseByLU () const |
vpMatrix | inverseByLUEigen3 () const |
vpMatrix | inverseByLULapack () const |
vpMatrix | inverseByLUOpenCV () const |
vpMatrix | inverseByCholesky () const |
vpMatrix | inverseByCholeskyLapack () const |
vpMatrix | inverseByCholeskyOpenCV () const |
vpMatrix | inverseByQR () const |
vpMatrix | inverseByQRLapack () const |
vpMatrix | inverseTriangular (bool upper=true) const |
vpMatrix | pseudoInverse (double svThreshold=1e-6) const |
unsigned int | pseudoInverse (vpMatrix &Ap, double svThreshold=1e-6) const |
unsigned int | pseudoInverse (vpMatrix &Ap, vpColVector &sv, double svThreshold=1e-6) const |
unsigned int | pseudoInverse (vpMatrix &Ap, vpColVector &sv, double svThreshold, vpMatrix &imA, vpMatrix &imAt) const |
unsigned int | pseudoInverse (vpMatrix &Ap, vpColVector &sv, double svThreshold, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverse (int rank_in) const |
int | pseudoInverse (vpMatrix &Ap, int rank_in) const |
int | pseudoInverse (vpMatrix &Ap, vpColVector &sv, int rank_in) const |
int | pseudoInverse (vpMatrix &Ap, vpColVector &sv, int rank_in, vpMatrix &imA, vpMatrix &imAt) const |
int | pseudoInverse (vpMatrix &Ap, vpColVector &sv, int rank_in, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverseLapack (double svThreshold=1e-6) const |
unsigned int | pseudoInverseLapack (vpMatrix &Ap, double svThreshold=1e-6) const |
unsigned int | pseudoInverseLapack (vpMatrix &Ap, vpColVector &sv, double svThreshold=1e-6) const |
unsigned int | pseudoInverseLapack (vpMatrix &Ap, vpColVector &sv, double svThreshold, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverseLapack (int rank_in) const |
int | pseudoInverseLapack (vpMatrix &Ap, int rank_in) const |
int | pseudoInverseLapack (vpMatrix &Ap, vpColVector &sv, int rank_in) const |
int | pseudoInverseLapack (vpMatrix &Ap, vpColVector &sv, int rank_in, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverseEigen3 (double svThreshold=1e-6) const |
unsigned int | pseudoInverseEigen3 (vpMatrix &Ap, double svThreshold=1e-6) const |
unsigned int | pseudoInverseEigen3 (vpMatrix &Ap, vpColVector &sv, double svThreshold=1e-6) const |
unsigned int | pseudoInverseEigen3 (vpMatrix &Ap, vpColVector &sv, double svThreshold, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverseEigen3 (int rank_in) const |
int | pseudoInverseEigen3 (vpMatrix &Ap, int rank_in) const |
int | pseudoInverseEigen3 (vpMatrix &Ap, vpColVector &sv, int rank_in) const |
int | pseudoInverseEigen3 (vpMatrix &Ap, vpColVector &sv, int rank_in, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverseOpenCV (double svThreshold=1e-6) const |
unsigned int | pseudoInverseOpenCV (vpMatrix &Ap, double svThreshold=1e-6) const |
unsigned int | pseudoInverseOpenCV (vpMatrix &Ap, vpColVector &sv, double svThreshold=1e-6) const |
unsigned int | pseudoInverseOpenCV (vpMatrix &Ap, vpColVector &sv, double svThreshold, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | pseudoInverseOpenCV (int rank_in) const |
int | pseudoInverseOpenCV (vpMatrix &Ap, int rank_in) const |
int | pseudoInverseOpenCV (vpMatrix &Ap, vpColVector &sv, int rank_in) const |
int | pseudoInverseOpenCV (vpMatrix &Ap, vpColVector &sv, int rank_in, vpMatrix &imA, vpMatrix &imAt, vpMatrix &kerAt) const |
vpMatrix | dampedInverse (const double &ratioOfMaxSvd=1e-4) const |
SVD decomposition <br> | |
double | cond (double svThreshold=1e-6) const |
unsigned int | kernel (vpMatrix &kerAt, double svThreshold=1e-6) const |
unsigned int | nullSpace (vpMatrix &kerA, double svThreshold=1e-6) const |
unsigned int | nullSpace (vpMatrix &kerA, int dim) const |
void | solveBySVD (const vpColVector &B, vpColVector &x) const |
vpColVector | solveBySVD (const vpColVector &B) const |
void | svd (vpColVector &w, vpMatrix &V) |
void | svdEigen3 (vpColVector &w, vpMatrix &V) |
void | svdLapack (vpColVector &w, vpMatrix &V) |
void | svdOpenCV (vpColVector &w, vpMatrix &V) |
QR decomposition <br> | |
unsigned int | qr (vpMatrix &Q, vpMatrix &R, bool full=false, bool squareR=false, double tol=1e-6) const |
unsigned int | qrPivot (vpMatrix &Q, vpMatrix &R, vpMatrix &P, bool full=false, bool squareR=false, double tol=1e-6) const |
void | solveByQR (const vpColVector &b, vpColVector &x) const |
vpColVector | solveByQR (const vpColVector &b) const |
Eigen values <br> | |
vpColVector | eigenValues () const |
void | eigenValues (vpColVector &evalue, vpMatrix &evector) const |
Norms <br> | |
double | frobeniusNorm () const |
double | inducedL2Norm () const |
double | infinityNorm () const |
Printing <br> | |
std::ostream & | cppPrint (std::ostream &os, const std::string &matrixName="A", bool octet=false) const |
std::ostream & | csvPrint (std::ostream &os) const |
std::ostream & | maplePrint (std::ostream &os) const |
std::ostream & | matlabPrint (std::ostream &os) const |
int | print (std::ostream &s, unsigned int length, const std::string &intro="") const |
void | printSize () const |
Static Public Member Functions | |
Linear algebra optimization <br> | |
static unsigned int | getLapackMatrixMinSize () |
static void | setLapackMatrixMinSize (unsigned int min_size) |
Stacking with Static Public Member Functions <br> | |
static vpMatrix | stack (const vpMatrix &A, const vpMatrix &B) |
static vpMatrix | stack (const vpMatrix &A, const vpRowVector &r) |
static vpMatrix | stack (const vpMatrix &A, const vpColVector &c) |
static void | stack (const vpMatrix &A, const vpMatrix &B, vpMatrix &C) |
static void | stack (const vpMatrix &A, const vpRowVector &r, vpMatrix &C) |
static void | stack (const vpMatrix &A, const vpColVector &c, vpMatrix &C) |
static vpMatrix | juxtaposeMatrices (const vpMatrix &A, const vpMatrix &B) |
static void | juxtaposeMatrices (const vpMatrix &A, const vpMatrix &B, vpMatrix &C) |
Matrix insertion with Static Public Member Functions <br> | |
static vpMatrix | insert (const vpMatrix &A, const vpMatrix &B, unsigned int r, unsigned int c) |
static void | insert (const vpMatrix &A, const vpMatrix &B, vpMatrix &C, unsigned int r, unsigned int c) |
Kronecker product with Static Public Member Functions <br> | |
static void | kron (const vpMatrix &m1, const vpMatrix &m2, vpMatrix &out) |
static vpMatrix | kron (const vpMatrix &m1, const vpMatrix &m2) |
Setting a diagonal matrix with Static Public Member Functions <br> | |
static void | createDiagonalMatrix (const vpColVector &A, vpMatrix &DA) |
Matrix operations with Static Public Member Functions <br> | |
static void | add2Matrices (const vpMatrix &A, const vpMatrix &B, vpMatrix &C) |
static void | add2Matrices (const vpColVector &A, const vpColVector &B, vpColVector &C) |
static void | add2WeightedMatrices (const vpMatrix &A, const double &wA, const vpMatrix &B, const double &wB, vpMatrix &C) |
static void | computeHLM (const vpMatrix &H, const double &alpha, vpMatrix &HLM) |
static void | mult2Matrices (const vpMatrix &A, const vpMatrix &B, vpMatrix &C) |
static void | mult2Matrices (const vpMatrix &A, const vpMatrix &B, vpRotationMatrix &C) |
static void | mult2Matrices (const vpMatrix &A, const vpMatrix &B, vpHomogeneousMatrix &C) |
static void | mult2Matrices (const vpMatrix &A, const vpColVector &B, vpColVector &C) |
static void | multMatrixVector (const vpMatrix &A, const vpColVector &v, vpColVector &w) |
static void | negateMatrix (const vpMatrix &A, vpMatrix &C) |
static void | sub2Matrices (const vpMatrix &A, const vpMatrix &B, vpMatrix &C) |
static void | sub2Matrices (const vpColVector &A, const vpColVector &B, vpColVector &C) |
Covariance computation with Static Public Member Functions <br> | |
static vpMatrix | computeCovarianceMatrix (const vpMatrix &A, const vpColVector &x, const vpColVector &b) |
static vpMatrix | computeCovarianceMatrix (const vpMatrix &A, const vpColVector &x, const vpColVector &b, const vpMatrix &w) |
static vpMatrix | computeCovarianceMatrixVVS (const vpHomogeneousMatrix &cMo, const vpColVector &deltaS, const vpMatrix &Ls, const vpMatrix &W) |
static vpMatrix | computeCovarianceMatrixVVS (const vpHomogeneousMatrix &cMo, const vpColVector &deltaS, const vpMatrix &Ls) |
Matrix I/O with Static Public Member Functions <br> | |
static bool | loadMatrix (const std::string &filename, vpArray2D< double > &M, bool binary=false, char *header=nullptr) |
static bool | loadMatrixYAML (const std::string &filename, vpArray2D< double > &M, char *header=nullptr) |
static bool | saveMatrix (const std::string &filename, const vpArray2D< double > &M, bool binary=false, const char *header="") |
static bool | saveMatrixYAML (const std::string &filename, const vpArray2D< double > &M, const char *header="") |
Public Attributes | |
double * | data |
Protected Attributes | |
unsigned int | pRowNum |
unsigned int | pColNum |
vpMatrix * | parent |
Related Functions | |
(Note that these are not member functions.) | |
void | insert (const vpMatrix &A, const vpMatrix &B, vpMatrix &C, unsigned int r, unsigned int c) |
vpMatrix | operator* (const double &x, const vpMatrix &B) |
enum | vpGEMMmethod |
bool | operator== (const vpArray2D< double > &A) const |
bool | operator== (const vpArray2D< float > &A) const |
bool | operator!= (const vpArray2D< double > &A) const |
void | vpGEMM (const vpArray2D< double > &A, const vpArray2D< double > &B, const double &alpha, const vpArray2D< double > &C, const double &beta, vpArray2D< double > &D, const unsigned int &ops=0) |
Inherited I/O from vpArray2D with Static Public Member Functions | |
unsigned int | rowNum |
unsigned int | colNum |
double ** | rowPtrs |
unsigned int | dsize |
vpArray2D< double > | insert (const vpArray2D< double > &A, const vpArray2D< double > &B, unsigned int r, unsigned int c) |
static vpArray2D< double > | conv2 (const vpArray2D< double > &M, const vpArray2D< double > &kernel, const std::string &mode) |
static void | conv2 (const vpArray2D< double > &M, const vpArray2D< double > &kernel, vpArray2D< double > &res, const std::string &mode) |
static bool | load (const std::string &filename, vpArray2D< double > &A, bool binary=false, char *header=nullptr) |
static bool | loadYAML (const std::string &filename, vpArray2D< double > &A, char *header=nullptr) |
static bool | save (const std::string &filename, const vpArray2D< double > &A, bool binary=false, const char *header="") |
static bool | saveYAML (const std::string &filename, const vpArray2D< double > &A, const char *header="") |
static void | insert (const vpArray2D< double > &A, const vpArray2D< double > &B, vpArray2D< double > &C, unsigned int r, unsigned int c) |
Definition of the vpSubMatrix class that provides a mask on a vpMatrix. All properties of vpMatrix are available with a vpSubMatrix.
Definition at line 56 of file vpSubMatrix.h.
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Method used to compute the determinant of a square matrix.
Enumerator | |
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LU_DECOMPOSITION | LU decomposition method. |
Definition at line 175 of file vpMatrix.h.
BEGIN_VISP_NAMESPACE vpSubMatrix::vpSubMatrix | ( | ) |
Default constructor.
Definition at line 41 of file vpSubMatrix.cpp.
vpSubMatrix::vpSubMatrix | ( | vpMatrix & | m, |
const unsigned int & | row_offset, | ||
const unsigned int & | col_offset, | ||
const unsigned int & | nrows, | ||
const unsigned int & | ncols | ||
) |
Constructor.
m | : parent matrix |
row_offset | : row offset |
col_offset | : col offset |
nrows | : number of rows of the sub matrix |
ncols | : number of columns of the sub matrix |
Definition at line 51 of file vpSubMatrix.cpp.
References init().
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Computes the operation
Definition at line 510 of file vpMatrix_operations.cpp.
Referenced by vpServo::computeControlLaw(), and vpServo::computeProjectionOperators().
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Compute the AAt operation such as .
The result is placed in the parameter B and not returned.
A new matrix won't be allocated for every use of the function. This results in a speed gain if used many times with the same result matrix size.
Definition at line 530 of file vpMatrix_operations.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, vpArray2D< Type >::rowNum, and vpArray2D< double >::rowPtrs.
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Operation C = A + B.
The result is placed in the third parameter C and not returned. A new vector won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
Definition at line 387 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpColVector::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
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Operation C = A + B.
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
Definition at line 353 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
Referenced by vpMatrix::operator+().
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Operation C = A*wA + B*wB
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (Speed gain if used many times with the same result matrix size).
Definition at line 321 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
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Compute the AtA operation such as
Definition at line 638 of file vpMatrix_operations.cpp.
Referenced by vpServo::computeProjectionOperators(), vpMbDepthDenseTracker::computeVVS(), vpMbDepthNormalTracker::computeVVS(), vpMbGenericTracker::computeVVS(), vpMbEdgeTracker::computeVVSFirstPhasePoseEstimation(), vpTemplateTrackerWarpHomographySL3::findWarp(), and vpNurbs::globalCurveApprox().
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Compute the AtA operation such as .
The result is placed in the parameter B and not returned.
A new matrix won't be allocated for every use of the function. This results in a speed gain if used many times with the same result matrix size.
Definition at line 586 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< Type >::rowNum.
void vpSubMatrix::checkParentStatus | ( | ) | const |
Check is parent vpRowVector has changed since initialization.
This method can be used to detect if the parent matrix always exits or its size have not changed and throw an exception is not.
Definition at line 103 of file vpSubMatrix.cpp.
References vpArray2D< double >::data, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrixException::incorrectMatrixSizeError, parent, pColNum, and pRowNum.
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Definition at line 1652 of file vpMatrix.cpp.
References vpMatrix::choleskyByEigen3(), vpMatrix::choleskyByLapack(), vpMatrix::choleskyByOpenCV(), and vpException::fatalError.
Referenced by vpMatrix::choleskyByLapack(), vpUKSigmaDrawerMerwe::drawSigmaPoints(), and vpMatrix::inverseByCholeskyLapack().
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Compute the Cholesky decomposition of a Hermitian positive-definite matrix using Eigen3 library.
Definition at line 372 of file vpMatrix_cholesky.cpp.
References vpArray2D< double >::getCols(), and vpArray2D< double >::getRows().
Referenced by vpMatrix::cholesky().
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Compute the Cholesky decomposition of a Hermitian positive-definite matrix using Lapack library.
Definition at line 228 of file vpMatrix_cholesky.cpp.
References vpMatrix::cholesky(), vpArray2D< double >::colNum, vpArray2D< Type >::data, vpMatrixException::forbiddenOperatorError, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpMatrixException::matrixError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::cholesky().
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Compute the Cholesky decomposition of a Hermitian positive-definite matrix using OpenCV library.
Definition at line 342 of file vpMatrix_cholesky.cpp.
References vpArray2D< double >::colNum, vpException::fatalError, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), and vpArray2D< double >::rowNum.
Referenced by vpMatrix::cholesky().
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Removes all elements from the matrix (which are destroyed), leaving the container with a size of 0.
Definition at line 238 of file vpMatrix.h.
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Compute the covariance matrix of the parameters x from a least squares minimization defined as: Ax = b
A | : Matrix A from Ax = b. |
x | : Vector x from Ax = b corresponding to the parameters to estimate. |
b | : Vector b from Ax = b. |
Definition at line 55 of file vpMatrix_covariance.cpp.
References vpException::divideByZeroError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrix::pseudoInverse(), and vpMatrix::t().
Referenced by vpMatrix::computeCovarianceMatrixVVS(), and vpPose::poseVirtualVSrobust().
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Compute the covariance matrix of the parameters x from a least squares minimization defined as: WAx = Wb
A | : Matrix A from WAx = Wb. |
x | : Vector x from WAx = Wb corresponding to the parameters to estimate. |
b | : Vector b from WAx = Wb. |
W | : Diagonal weigths matrix from WAx = Wb. |
Definition at line 88 of file vpMatrix_covariance.cpp.
References vpException::divideByZeroError, vpArray2D< Type >::getCols(), vpMatrix::pseudoInverse(), and vpMatrix::t().
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Compute the covariance matrix of an image-based virtual visual servoing. This assumes the optimization has been done via v = Ls.pseudoInverse() * DeltaS.
cMo | : Pose matrix that has been computed with the v. |
deltaS | : Error vector used in v = Ls.pseudoInverse() * DeltaS |
Ls | : interaction matrix used in v = Ls.pseudoInverse() * DeltaS |
Definition at line 123 of file vpMatrix_covariance.cpp.
References vpMatrix::computeCovarianceMatrix(), and vpMatrix::computeCovarianceMatrixVVS().
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Compute the covariance matrix of an image-based virtual visual servoing. This assumes the optimization has been done via v = (W * Ls).pseudoInverse() W * DeltaS.
cMo | : Pose matrix that has been computed with the v. |
deltaS | : Error vector used in v = (W * Ls).pseudoInverse() * W * DeltaS. |
Ls | : interaction matrix used in v = (W * Ls).pseudoInverse() * W * DeltaS. |
W | : Weight matrix used in v = (W * Ls).pseudoInverse() * W * DeltaS. |
Definition at line 148 of file vpMatrix_covariance.cpp.
References vpMatrix::computeCovarianceMatrix().
Referenced by vpMbTracker::computeCovarianceMatrixVVS(), vpMatrix::computeCovarianceMatrixVVS(), and vpPose::poseVirtualVS().
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Compute
H | : input Matrix . This matrix should be square. |
alpha | : Scalar |
HLM | : Resulting operation. |
Definition at line 1873 of file vpMatrix.cpp.
References vpException::dimensionError, vpArray2D< Type >::getCols(), and vpArray2D< Type >::getRows().
Referenced by vpTemplateTrackerWarpHomographySL3::findWarp(), vpTemplateTrackerSSDESM::initCompInverse(), vpTemplateTrackerSSDInverseCompositional::initCompInverse(), vpTemplateTrackerZNCCForwardAdditional::initHessienDesired(), vpTemplateTrackerZNCCInverseCompositional::initHessienDesired(), vpTemplateTrackerMIESM::initHessienDesired(), vpTemplateTrackerMIForwardAdditional::initHessienDesired(), vpTemplateTrackerMIForwardCompositional::initHessienDesired(), vpTemplateTrackerMIInverseCompositional::initHessienDesired(), vpTemplateTracker::setHDes(), vpTemplateTrackerSSDESM::trackNoPyr(), vpTemplateTrackerSSDForwardAdditional::trackNoPyr(), vpTemplateTrackerSSDForwardCompositional::trackNoPyr(), vpTemplateTrackerMIESM::trackNoPyr(), vpTemplateTrackerMIForwardAdditional::trackNoPyr(), vpTemplateTrackerMIForwardCompositional::trackNoPyr(), and vpTemplateTrackerMIInverseCompositional::trackNoPyr().
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svThreshold | Threshold used to test the singular values. If a singular value is lower than this threshold we consider that the matrix is not full rank. |
Definition at line 1810 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpMatrix::insert(), vpColVector::resize(), vpArray2D< Type >::resize(), and vpMatrix::svd().
Referenced by vpTemplateTrackerMIESM::trackNoPyr(), vpTemplateTrackerMIForwardAdditional::trackNoPyr(), vpTemplateTrackerMIForwardCompositional::trackNoPyr(), and vpTemplateTrackerMIInverseCompositional::trackNoPyr().
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Perform a 2D convolution similar to Matlab conv2 function: .
M | : First matrix. |
kernel | : Second matrix. |
mode | : Convolution mode: "full" (default), "same", "valid". |
Definition at line 1053 of file vpArray2D.h.
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Perform a 2D convolution similar to Matlab conv2 function: .
M | : First array. |
kernel | : Second array. |
res | : Result. |
mode | : Convolution mode: "full" (default), "same", "valid". |
Definition at line 1067 of file vpArray2D.h.
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Perform a 2D convolution similar to Matlab conv2 function: .
M | : First matrix. |
kernel | : Second matrix. |
mode | : Convolution mode: "full" (default), "same", "valid". |
Definition at line 898 of file vpMatrix_operations.cpp.
References vpMatrix::kernel().
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staticinherited |
Perform a 2D convolution similar to Matlab conv2 function: .
M | : First array. |
kernel | : Second array. |
res | : Result. |
mode | : Convolution mode: "full" (default), "same", "valid". |
Definition at line 905 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::data, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrix::insert(), vpMatrix::kernel(), and vpArray2D< Type >::resize().
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Print to be used as part of a C++ code later.
os | : the stream to be printed in. |
matrixName | : name of the matrix, "A" by default. |
octet | : if false, print using double, if true, print byte per byte each bytes of the double array. |
The following code shows how to use this function:
It produces the following output that could be copy/paste in a C++ code:
Definition at line 1100 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), and vpArray2D< double >::getRows().
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staticinherited |
Create a diagonal matrix with the element of a vector .
A | : Vector which element will be put in the diagonal. |
DA | : Diagonal matrix DA[i][i] = A[i] |
Definition at line 750 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::getRows(), and vpArray2D< Type >::resize().
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Print/save a matrix in csv format.
The following code
produces log.csv file that contains:
Definition at line 1045 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), and vpArray2D< double >::getRows().
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Permits to compute an approximated inverse of a matrix that is ill-conditionned. If the matrix is well-conditionned, the damped inverse is close to the Moore-Penrose pseudo-inverse.
The corresponding equation is the following, assuming that is the matrix we want to compute the damped inverse:
[in] | ratioOfMaxSvd | The ratio of the maximum singular value of we want to set . |
Definition at line 1025 of file vpMatrix_pseudo_inverse.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::getMaxValue(), vpMatrix::inverseByLU(), vpMatrix::svd(), and vpMatrix::transpose().
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Compute the determinant of a n-by-n matrix.
method | : Method used to compute the determinant. Default LU decomposition method is faster than the method based on Gaussian elimination. |
Definition at line 1641 of file vpMatrix.cpp.
References vpMatrix::detByLU(), and vpMatrix::LU_DECOMPOSITION.
Referenced by vpHomogeneousMatrix::compute3d3dTransformation(), vpMatrix::detByLULapack(), vpMatrix::detByLUOpenCV(), vpTemplateTrackerTriangle::init(), vpMatrix::inverseByLU(), and vpRotationMatrix::orthogonalize().
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Compute the determinant of a square matrix using the LU decomposition.
This function calls the first following function that is available:
If none of these previous 3rd parties is installed, we use by default detByLULapack() with a Lapack built-in version.
Definition at line 234 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpMatrix::detByLUEigen3(), vpMatrix::detByLULapack(), vpMatrix::detByLUOpenCV(), vpException::fatalError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::det().
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inherited |
Compute the determinant of a square matrix using the LU decomposition with Eigen3 3rd party.
Definition at line 652 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::data, vpException::fatalError, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), and vpArray2D< double >::rowNum.
Referenced by vpMatrix::detByLU().
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Compute the determinant of a square matrix using the LU decomposition with Lapack 3rd party.
Definition at line 400 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpMatrix::det(), vpException::fatalError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::detByLU().
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inherited |
Compute the determinant of a n-by-n matrix using the LU decomposition with OpenCV 3rd party.
Definition at line 554 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::data, vpMatrix::det(), vpException::fatalError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::detByLU().
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inherited |
Set the matrix as a diagonal matrix where each element on the diagonal is set to val. Elements that are not on the diagonal are set to 0.
val | : Value to set. |
Matrix A is now equal to:
Definition at line 731 of file vpMatrix_operations.cpp.
References vpArray2D< double >::colNum, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::getDiag().
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inherited |
Create a diagonal matrix with the element of a vector.
A | : Vector which element will be put in the diagonal. |
Matrix A is now equal to:
Definition at line 686 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::getRows(), and vpArray2D< double >::resize().
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inherited |
Compute the eigenvalues of a n-by-n real symmetric matrix using Lapack 3rd party.
vpException::dimensionError | If the matrix is not square. |
vpException::fatalError | If the matrix is not symmetric. |
vpException::functionNotImplementedError | If the Lapack 3rd party is not detected. |
Here an example:
Definition at line 1192 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpException::dimensionError, vpException::fatalError, vpException::functionNotImplementedError, vpColVector::resize(), vpArray2D< double >::rowNum, and vpMatrix::t().
Referenced by vpQuadProg::fromCanonicalCost(), and vpMath::lineFitting().
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inherited |
Compute the eigenvalues of a n-by-n real symmetric matrix using Lapack 3rd party.
evalue | : Eigenvalues of the matrix, sorted in ascending order. |
evector | : Corresponding eigenvectors of the matrix. |
vpException::dimensionError | If the matrix is not square. |
vpException::fatalError | If the matrix is not symmetric. |
vpException::functionNotImplementedError | If Lapack 3rd party is not detected. |
Here an example:
Definition at line 1317 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpException::dimensionError, vpException::fatalError, vpException::functionNotImplementedError, vpColVector::resize(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpMatrix::t().
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Compute the exponential matrix of a square matrix.
Definition at line 1673 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::dimensionError, vpMatrix::eye(), vpMatrix::inverseByLU(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpMatrix::sum().
Referenced by vpTemplateTrackerWarpHomographySL3::computeCoeff().
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Extract a sub matrix from a matrix M.
r | : row index in matrix M. |
c | : column index in matrix M. |
nrows | : Number of rows of the matrix that should be extracted. |
ncols | : Number of columns of the matrix that should be extracted. |
The following code shows how to use this function:
It produces the following output:
Definition at line 424 of file vpMatrix.cpp.
References vpException::dimensionError, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), and vpArray2D< Type >::resize().
Referenced by vpLinProg::colReduction(), vpLinProg::rowReduction(), and vpMatrix::solveByQR().
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Set an m-by-n matrix to identity with ones on the diagonal and zeros else where.
Definition at line 781 of file vpMatrix_operations.cpp.
References vpArray2D< double >::colNum, and vpArray2D< double >::rowNum.
Referenced by vpLinProg::colReduction(), vpServo::computeControlLaw(), vpMbDepthDenseTracker::computeVVS(), vpMbDepthNormalTracker::computeVVS(), vpMbEdgeTracker::computeVVS(), vpMbGenericTracker::computeVVS(), vpMbTracker::computeVVSPoseEstimation(), vpMatrix::expm(), vpMatrix::eye(), vpTemplateTrackerWarpHomographySL3::getdW0(), vpTemplateTrackerWarpHomographySL3::getdWdp0(), vpFeatureThetaU::interaction(), vpPose::poseFromRectangle(), vpRobotKinova::setCartVelocity(), vpServo::setServo(), vpLinProg::solveLP(), vpMbTracker::vpMbTracker(), and vpServo::vpServo().
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Compute and return the Frobenius norm (also called Euclidean norm) .
Definition at line 1894 of file vpMatrix.cpp.
References vpArray2D< double >::data, and vpArray2D< double >::dsize.
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Extract a column vector from a matrix.
j | : Index of the column to extract. If j=0, the first column is extracted. |
The following example shows how to use this function:
It produces the following output :
Definition at line 548 of file vpMatrix.cpp.
References vpArray2D< double >::rowNum.
Referenced by vpLinProg::colReduction(), vpHomography::DLT(), vpMbtFaceDepthNormal::estimatePlaneEquationSVD(), vpMatrix::kernel(), vpLuminancePCA::learn(), vpPose::poseFromRectangle(), vpServo::secondaryTaskJointLimitAvoidance(), and vpLinProg::simplex().
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Extract a column vector from a matrix.
j | : Index of the column to extract. If col=0, the first column is extracted. |
i_begin | : Index of the row that gives the location of the first element of the column vector to extract. |
column_size | : Size of the column vector to extract. |
The following example shows how to use this function:
It produces the following output :
Definition at line 492 of file vpMatrix.cpp.
References vpException::dimensionError, vpArray2D< double >::getCols(), and vpArray2D< double >::getRows().
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Return the number of columns of the 2D array.
Definition at line 337 of file vpArray2D.h.
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Extract a diagonal vector from a matrix.
The following example shows how to use this function:
It produces the following output :
Definition at line 687 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpMatrix::diag(), and vpArray2D< double >::rowNum.
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Return the minimum size of rows and columns required to enable Blas/Lapack usage on matrices and vectors.
To get more info see Tutorial: Basic linear algebra operations.
Definition at line 267 of file vpMatrix.h.
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Return the array max value.
Definition at line 339 of file vpArray2D.h.
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Return the array min value.
Definition at line 341 of file vpArray2D.h.
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Extract a row vector from a matrix.
i | : Index of the row to extract. If i=0, the first row is extracted. |
The following example shows how to use this function:
It produces the following output :
Definition at line 590 of file vpMatrix.cpp.
References vpArray2D< double >::colNum.
Referenced by vpLinProg::allClose(), vpLinProg::allLesser(), vpUKSigmaDrawerMerwe::drawSigmaPoints(), vpLinProg::solveLP(), and vpQuadProg::solveQPi().
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Extract a row vector from a matrix.
i | : Index of the row to extract.If i = 0, the first row is extracted. |
j_begin | : Index of the column that gives the location of the first element of the row vector to extract. |
row_size | : Size of the row vector to extract. |
The following example shows how to use this function:
It produces the following output :
Definition at line 635 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::dimensionError, and vpArray2D< double >::rowNum.
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Return the number of rows of the 2D array.
Definition at line 347 of file vpArray2D.h.
Compute the Hadamard product (element wise matrix multiplication).
m | : Second matrix; |
Definition at line 641 of file vpArray2D.h.
Compute the Hadamard product (element wise matrix multiplication).
m | : Second matrix; |
Definition at line 801 of file vpMatrix_operations.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::data, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< double >::dsize, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), and vpArray2D< double >::rowNum.
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Compute and return the induced L2 norm which is equal to the maximum singular value of the matrix.
Definition at line 1913 of file vpMatrix.cpp.
References vpArray2D< double >::dsize, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpArray2D< Type >::size(), and vpMatrix::svd().
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Compute and return the infinity norm with where is the matrix size.
Definition at line 1954 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
Referenced by vpLinProg::colReduction(), and vpLinProg::rowReduction().
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Initialize the matrix from a part of an input matrix M.
M | : Input matrix used for initialization. |
r | : row index in matrix M. |
c | : column index in matrix M. |
nrows | : Number of rows of the matrix that should be initialized. |
ncols | : Number of columns of the matrix that should be initialized. |
The sub-matrix starting from M[r][c] element and ending on M[r+nrows-1][c+ncols-1] element is used to initialize the matrix.
The following code shows how to use this function:
It produces the following output:
Definition at line 357 of file vpMatrix.cpp.
References vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::resize(), and vpArray2D< double >::rowPtrs.
Referenced by vpMatrix::vpMatrix().
void vpSubMatrix::init | ( | vpMatrix & | m, |
const unsigned int & | row_offset, | ||
const unsigned int & | col_offset, | ||
const unsigned int & | nrows, | ||
const unsigned int & | ncols | ||
) |
Initialisation of vpMatrix.
Initialisation of a sub matrix.
m | : parent matrix |
row_offset | : row offset |
col_offset | : col offset |
nrows | : number of rows of the sub matrix |
ncols | : number of columns of the sub matrix |
Definition at line 66 of file vpSubMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::data, vpArray2D< Type >::data, vpArray2D< double >::dsize, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrixException::incorrectMatrixSizeError, parent, pColNum, pRowNum, vpArray2D< double >::rowNum, vpArray2D< double >::rowPtrs, and vpMatrixException::subMatrixError.
Referenced by vpSubMatrix().
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Insert array B in array A at the given position.
A | : Main array. |
B | : Array to insert. |
r | : Index of the row where to add the array. |
c | : Index of the column where to add the array. |
Definition at line 1081 of file vpArray2D.h.
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inlineinherited |
Insert array A at the given position in the current array.
A | : The array to insert. |
r | : The index of the row to begin to insert data. |
c | : The index of the column to begin to insert data. |
Definition at line 497 of file vpArray2D.h.
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staticinherited |
Insert matrix B in matrix A at the given position.
A | : Main matrix. |
B | : Matrix to insert. |
r | : Index of the row where to add the matrix. |
c | : Index of the column where to add the matrix. |
Definition at line 715 of file vpMatrix.cpp.
References vpArray2D< Type >::insert(), and vpMatrix::vpMatrix().
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staticinherited |
Insert matrix B in matrix A at the given position.
A | : Main matrix. |
B | : Matrix to insert. |
C | : Result matrix. |
r | : Index of the row where to insert matrix B. |
c | : Index of the column where to insert matrix B. |
Definition at line 737 of file vpMatrix.cpp.
References vpArray2D< Type >::insert().
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inherited |
Insert matrix A at the given position in the current matrix.
A | : The matrix to insert. |
r | : The index of the row to begin to insert data. |
c | : The index of the column to begin to insert data. |
Definition at line 1133 of file vpMatrix.cpp.
References vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< double >::data, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::rowNum, and vpArray2D< Type >::size().
Referenced by vpMbDepthDenseTracker::computeVVSInteractionMatrixAndResidu(), vpMbDepthNormalTracker::computeVVSInteractionMatrixAndResidu(), vpMbGenericTracker::computeVVSInteractionMatrixAndResidu(), vpMatrix::cond(), vpMatrix::conv2(), vpNurbs::curveKnotIns(), vpMatrix::juxtaposeMatrices(), vpMatrix::kernel(), vpMatrix::nullSpace(), vpRobotKinova::setCartVelocity(), and vpMatrix::stack().
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Compute the inverse of a n-by-n matrix using the Cholesky decomposition. The matrix must be real symmetric positive defined.
This function calls the first following function that is available:
If none of these 3rd parties is installed we use a Lapack built-in version.
Here an example:
Definition at line 112 of file vpMatrix_cholesky.cpp.
References vpException::fatalError, vpMatrix::inverseByCholeskyLapack(), and vpMatrix::inverseByCholeskyOpenCV().
Referenced by vpUnscentedKalman::update().
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inherited |
Compute the inverse of a n-by-n matrix using the Cholesky decomposition with Lapack 3rd party. The matrix must be real symmetric positive defined.
Here an example:
Definition at line 164 of file vpMatrix_cholesky.cpp.
References vpException::badValue, vpMatrix::cholesky(), vpArray2D< double >::colNum, vpArray2D< Type >::data, vpException::fatalError, vpArray2D< Type >::getCols(), vpArray2D< double >::getRows(), vpArray2D< Type >::getRows(), vpMatrixException::matrixError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::inverseByCholesky().
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inherited |
Compute the inverse of a n-by-n matrix using the Cholesky decomposition with OpenCV 3rd party. The matrix must be real symmetric positive defined.
Here an example:
Definition at line 320 of file vpMatrix_cholesky.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::fatalError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::inverseByCholesky().
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inherited |
Compute the inverse of a n-by-n matrix using the LU decomposition.
This function calls the first following function that is available:
If none of these previous 3rd parties is installed, we use by default inverseByLULapack() with a Lapack built-in version.
Here an example:
Definition at line 130 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpMatrix::det(), vpException::fatalError, vpMatrix::inverseByLUEigen3(), vpMatrix::inverseByLULapack(), vpMatrix::inverseByLUOpenCV(), vpArray2D< Type >::resize(), and vpArray2D< double >::rowNum.
Referenced by vpMatrix::dampedInverse(), vpMatrix::expm(), vpKalmanFilter::filtering(), vpTemplateTrackerWarpHomographySL3::findWarp(), vpTemplateTrackerTriangle::init(), vpTemplateTrackerSSDInverseCompositional::initCompInverse(), vpTemplateTrackerZNCCForwardAdditional::initHessienDesired(), vpTemplateTrackerZNCCInverseCompositional::initHessienDesired(), vpTemplateTrackerMIESM::initHessienDesired(), vpTemplateTrackerMIForwardAdditional::initHessienDesired(), vpTemplateTrackerMIForwardCompositional::initHessienDesired(), vpTemplateTrackerMIInverseCompositional::initHessienDesired(), vpTemplateTracker::setHDes(), vpTemplateTrackerSSDForwardAdditional::trackNoPyr(), vpTemplateTrackerSSDForwardCompositional::trackNoPyr(), vpTemplateTrackerMIESM::trackNoPyr(), vpTemplateTrackerMIForwardAdditional::trackNoPyr(), vpTemplateTrackerMIForwardCompositional::trackNoPyr(), vpTemplateTrackerMIInverseCompositional::trackNoPyr(), and vpImageTools::warpImage().
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inherited |
Compute the inverse of a n-by-n matrix using the LU decomposition with Eigen3 3rd party.
Here an example:
Definition at line 606 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::fatalError, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), and vpArray2D< double >::rowNum.
Referenced by vpMatrix::inverseByLU().
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inherited |
Compute the inverse of a n-by-n matrix using the LU decomposition with Lapack 3rd party.
Here an example:
Definition at line 299 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpException::fatalError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::inverseByLU().
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inherited |
Compute the inverse of a n-by-n matrix using the LU decomposition with OpenCV 3rd party.
Here an example:
Definition at line 509 of file vpMatrix_lu.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::fatalError, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::inverseByLU().
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inherited |
Compute the inverse of a n-by-n matrix using the QR decomposition. Only available if Lapack 3rd party is installed. If Lapack is not installed we use a Lapack built-in version.
Here an example:
Definition at line 382 of file vpMatrix_qr.cpp.
References vpException::fatalError, and vpMatrix::inverseByQRLapack().
Referenced by vpLinProg::simplex().
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inherited |
Compute the inverse of a n-by-n matrix using the QR decomposition with Lapack 3rd party.
Here an example:
Definition at line 148 of file vpMatrix_qr.cpp.
References vpException::badValue, vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::getRows(), vpMatrixException::matrixError, vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< double >::rowNum.
Referenced by vpMatrix::inverseByQR().
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inherited |
Compute the inverse of a full-rank n-by-n triangular matrix. Only available if Lapack 3rd party is installed. If Lapack is not installed we use a Lapack built-in version.
upper | : if it is an upper triangular matrix |
The function does not check if the matrix is actually upper or lower triangular.
Definition at line 1172 of file vpMatrix_qr.cpp.
References vpException::badValue, vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< Type >::data, vpException::dimensionError, vpException::fatalError, vpMatrixException::rankDeficient, vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< double >::rowNum.
Referenced by vpLinProg::colReduction(), vpLinProg::rowReduction(), and vpMatrix::solveByQR().
Juxtapose to matrices C = [ A B ].
A | : Left matrix. |
B | : Right matrix. |
Definition at line 757 of file vpMatrix.cpp.
Referenced by vpLinProg::colReduction().
Juxtapose to matrices C = [ A B ].
A | : Left matrix. |
B | : Right matrix. |
C | : Juxtaposed matrix C = [ A B ] |
Definition at line 778 of file vpMatrix.cpp.
References vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrix::insert(), and vpArray2D< Type >::resize().
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inherited |
Function to compute the null space (the kernel) of a m-by-n matrix .
The null space of a matrix is defined as .
kerAt | The matrix that contains the null space (kernel) of defined by the matrix . If matrix is full rank, the dimension of kerAt is (0, n), otherwise the dimension is (n-r, n). This matrix is thus the transpose of . |
svThreshold | Threshold used to test the singular values. If a singular value is lower than this threshold we consider that the matrix is not full rank. |
Definition at line 1416 of file vpMatrix.cpp.
References vpMatrix::getCol(), vpArray2D< double >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::getRows(), vpMatrix::insert(), vpColVector::resize(), vpArray2D< Type >::resize(), vpColVector::sumSquare(), and vpMatrix::svd().
Referenced by vpMatrix::conv2().
Compute Kronecker product matrix.
m | : vpMatrix; |
Definition at line 896 of file vpMatrix_operations.cpp.
References vpMatrix::kron().
Compute Kronecker product matrix.
Definition at line 865 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), and vpArray2D< Type >::resize().
Compute Kronecker product matrix.
Definition at line 827 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), and vpArray2D< Type >::resize().
Compute Kronecker product matrix.
m | : vpMatrix. |
out | : If m1.kron(m2) out contains the kronecker product's result : . |
Definition at line 857 of file vpMatrix_operations.cpp.
Referenced by vpMatrix::kron().
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inlinestaticinherited |
Load a matrix from a file.
filename | : Absolute file name. |
A | : Array to be loaded |
binary | : If true the matrix is loaded from a binary file, else from a text file. |
header | : Header of the file is loaded in this parameter. |
Definition at line 669 of file vpArray2D.h.
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inlinestaticinherited |
Load a matrix from a file. This function overloads vpArray2D::load().
filename | : Absolute file name. |
M | : Matrix to be loaded. |
binary | : If true the matrix data are considered as binary, otherwise as human readable (text) data. Using binary data allows to keep data precision. |
header | : Header of the file is loaded in this parameter. |
The following example shows how to use this function:
The output of this example is the following:
Matrix saved in matrix.bin My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0 Matrix loaded from matrix.bin My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0
And the content of matrix.bin
file where data are saved as binary data is the following:
% cat matrix.bin My header??@@@%
Definition at line 829 of file vpMatrix.h.
References vpArray2D< Type >::load().
Referenced by vpDot2::defineDots(), and vpLuminancePCA::load().
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inlinestaticinherited |
Load a matrix from a YAML-formatted file. This function overloads vpArray2D::loadYAML().
filename | : Absolute YAML file name. |
M | : Matrix to be loaded from the file. |
header | : Header of the file is loaded in this parameter. |
The following example shows how to use this function:
The output of this example is the following:
Matrix saved in matrix.yaml My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0 Matrix loaded from matrix.yaml My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0
And the content of matrix.yaml
file is the following:
% cat matrix.yaml My header rows: 2 cols: 3 data: - [-1, -2, -3] - [4, 5.5, 6]
Definition at line 908 of file vpMatrix.h.
References vpArray2D< Type >::loadYAML().
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inlinestaticinherited |
Load an array from a YAML-formatted file.
filename | : absolute file name. |
A | : array to be loaded from the file. |
header | : header of the file is loaded in this parameter. |
Definition at line 783 of file vpArray2D.h.
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inherited |
Print using Maple syntax, to copy/paste in Maple later.
The following code
produces this output:
that could be copy/paste in Maple.
Definition at line 998 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), and vpArray2D< double >::getRows().
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inherited |
Print using Matlab syntax, to copy/paste in Matlab later.
The following code
produces this output:
that could be copy/paste in Matlab:
Definition at line 947 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), and vpArray2D< double >::getRows().
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staticinherited |
Operation C = A * B.
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
Definition at line 306 of file vpMatrix_operations.cpp.
References vpMatrix::multMatrixVector().
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staticinherited |
Operation C = A * B.
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
vpException::dimensionError | If matrices are not 4-by-4 dimension. |
Definition at line 247 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
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staticinherited |
Operation C = A * B.
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
Definition at line 152 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
Referenced by vpMatrix::operator*().
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staticinherited |
Operation C = A * B.
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
vpException::dimensionError | If matrices are not 3-by-3 dimension. |
Definition at line 210 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
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Operation w = A * v (v and w are vectors).
A new matrix won't be allocated for every use of the function (Speed gain if used many times with the same result matrix size).
Definition at line 101 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpColVector::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
Referenced by vpMatrix::mult2Matrices(), and vpMatrix::operator*().
Operation C = -A.
The result is placed in the second parameter C and not returned. A new matrix won't be allocated for every use of the function (Speed gain if used many times with the same result matrix size).
Definition at line 489 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
Referenced by vpMatrix::operator-().
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inherited |
Function to compute the null space (the kernel) of a m-by-n matrix .
The null space of a matrix is defined as .
kerA | The matrix that contains the null space (kernel) of . If matrix is full rank, the dimension of kerA is (n, 0), otherwise its dimension is (n, n-r). |
svThreshold | Threshold used to test the singular values. The dimension of kerA corresponds to the number of singular values lower than this threshold |
Definition at line 1491 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpMatrix::insert(), vpColVector::resize(), vpArray2D< Type >::resize(), and vpMatrix::svd().
Referenced by vpMeEllipse::leastSquare(), and vpMeEllipse::leastSquareRobustEllipse().
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Function to compute the null space (the kernel) of a m-by-n matrix .
The null space of a matrix is defined as .
kerA | The matrix that contains the null space (kernel) of . If matrix is full rank, the dimension of kerA is (n, 0), otherwise its dimension is (n, n-r). |
dim | the dimension of the null space when it is known a priori |
Definition at line 1559 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpMatrix::insert(), vpColVector::resize(), vpArray2D< Type >::resize(), and vpMatrix::svd().
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Not equal to comparison operator of a 2D array.
Definition at line 523 of file vpArray2D.h.
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Operation w = A * v (matrix A is unchanged, v and w are column vectors).
Definition at line 423 of file vpMatrix_operators.cpp.
References vpMatrix::multMatrixVector().
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Operator that allow to multiply a matrix by a force/torque twist matrix. The matrix should be of dimension m-by-6.
Definition at line 564 of file vpMatrix_operators.cpp.
References vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< double >::data, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Operator that allow to multiply a matrix by a homogeneous matrix. The matrix should be of dimension m-by-4.
Definition at line 477 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
Operation C = A * B (A is unchanged).
Definition at line 434 of file vpMatrix_operators.cpp.
References vpMatrix::mult2Matrices().
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Operator that allow to multiply a matrix by a rotation matrix. The matrix should be of dimension m-by-3.
Definition at line 447 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Operator that allows to multiply a matrix by a translation vector. The matrix should be of dimension (3x3)
Definition at line 396 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Operator that allow to multiply a matrix by a velocity twist matrix. The matrix should be of dimension m-by-6.
Definition at line 508 of file vpMatrix_operators.cpp.
References vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< double >::data, vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Operator that allows to multiply all the elements of a matrix by a scalar.
Definition at line 703 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Multiply all the element of the matrix by x : Aij = Aij * x.
Operator that allows to multiply all the elements of a matrix by a scalar.
Definition at line 775 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
Operation C = A + B (A is unchanged).
Definition at line 620 of file vpMatrix_operators.cpp.
References vpMatrix::add2Matrices().
Operation A = A + B.
Definition at line 640 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::rowNum, vpArray2D< double >::rowPtrs, and vpArray2D< Type >::rowPtrs.
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Add x to all the element of the matrix : Aij = Aij + x.
Definition at line 748 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Definition at line 385 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::resize(), and vpArray2D< double >::rowPtrs.
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Operation C = -A (A is unchanged).
Definition at line 680 of file vpMatrix_operators.cpp.
References vpMatrix::negateMatrix().
Operation C = A - B (A is unchanged).
Definition at line 631 of file vpMatrix_operators.cpp.
References vpMatrix::sub2Matrices().
Operation A = A - B.
Definition at line 659 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::rowNum, vpArray2D< double >::rowPtrs, and vpArray2D< Type >::rowPtrs.
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subtract x to all the element of the matrix : Aij = Aij - x
Definition at line 760 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Cij = Aij / x (A is unchanged)
Definition at line 723 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::divideByZeroError, vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Divide all the element of the matrix by x : Aij = Aij / x.
Definition at line 791 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpException::divideByZeroError, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Assignment from an array of double. This method has to be used carefully since the array allocated behind x pointer should have the same dimension than the matrix.
Definition at line 368 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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Definition at line 378 of file vpMatrix_operators.cpp.
References vpArray2D< double >::resize(), and vpArray2D< double >::rowPtrs.
vpSubMatrix & vpSubMatrix::operator= | ( | const double & | x | ) |
Operation such as subA = x.
Operation A = x.
x | : a scalar |
Definition at line 167 of file vpSubMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
vpSubMatrix & vpSubMatrix::operator= | ( | const vpMatrix & | B | ) |
Operation such as subA = B.
Operation A = B.
B | : a matrix |
Definition at line 119 of file vpSubMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrixException::incorrectMatrixSizeError, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
vpSubMatrix & vpSubMatrix::operator= | ( | const vpSubMatrix & | B | ) |
Operation such as subA = subB.
Operation A = B.
B | : a subMatrix |
Definition at line 140 of file vpSubMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrixException::incorrectMatrixSizeError, parent, pColNum, pRowNum, vpArray2D< double >::rowNum, vpArray2D< double >::rowPtrs, and vpArray2D< Type >::rowPtrs.
Equal to comparison operator of a 2D array.
Definition at line 519 of file vpArray2D.h.
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Set element using A[i][j] = x.
Definition at line 605 of file vpArray2D.h.
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Get element using x = A[i][j].
Definition at line 607 of file vpArray2D.h.
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Pretty print a matrix. The data are tabulated. The common widths before and after the decimal point are set with respect to the parameter length
.
s | : Stream used for the printing. |
length | : The suggested width of each matrix element. If needed, the used length grows in order to accommodate the whole integral part, and shrinks the decimal part to print only length digits. |
intro | : The introduction which is printed before the matrix. Can be set to zero (or omitted), in which case the introduction is not printed. |
Definition at line 824 of file vpMatrix.cpp.
References vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpMath::maximum(), and vpArray2D< double >::size().
Referenced by vpServo::computeControlLaw().
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Definition at line 661 of file vpMatrix.h.
References vpArray2D< Type >::getCols(), and vpArray2D< Type >::getRows().
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Compute and return the Moore-Penros pseudo inverse of a m-by-n matrix .
svThreshold | : Threshold used to test the singular values. If a singular value is lower than this threshold we consider that the matrix is not full rank. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 332 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
Referenced by vpServo::computeControlLaw(), vpMatrix::computeCovarianceMatrix(), vpMbEdgeTracker::computeVVSFirstPhasePoseEstimation(), vpMbTracker::computeVVSPoseEstimation(), vpQuadProg::fromCanonicalCost(), vpNurbs::globalCurveApprox(), vpNurbs::globalCurveInterp(), vpHomography::inverse(), vpMeLine::leastSquare(), vpHomogeneousMatrix::mean(), vpRotationMatrix::mean(), vpPose::poseDementhonNonPlan(), vpPose::poseDementhonPlan(), vpPose::poseFromRectangle(), vpMatrix::pseudoInverse(), vpHomography::robust(), vpMatrix::solveBySVD(), and vpQuadProg::solveQPi().
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inherited |
Compute and return the Moore-Penros pseudo inverse of a m-by-n matrix .
[in] | rank_in | : Known rank of the matrix. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 401 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix and return the rank of the matrix.
Ap | : The Moore-Penros pseudo inverse . |
svThreshold | : Threshold used to test the singular values. If a singular value is lower than this threshold we consider that the matrix is not full rank. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 182 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix and return the rank of the matrix.
Ap | : The Moore-Penros pseudo inverse . | |
[in] | rank_in | : Known rank of the matrix. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 262 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix along with singular values, and and return the rank of the matrix.
See pseudoInverse(vpMatrix &, vpColVector &, double, vpMatrix &, vpMatrix &, vpMatrix &) const for a complete description of this function.
Ap | : The Moore-Penros pseudo inverse . |
sv | Vector corresponding to matrix singular values. The size of this vector is equal to min(m, n). |
svThreshold | : Threshold used to test the singular values. If a singular value is lower than this threshold we consider that the matrix is not full rank. |
imA | that is a m-by-r matrix. |
imAt | that is n-by-r matrix. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 662 of file vpMatrix_pseudo_inverse.cpp.
References vpMatrix::pseudoInverse().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix along with singular values, , and and return the rank of the matrix.
Ap | : The Moore-Penros pseudo inverse . |
sv | : Vector corresponding to matrix A singular values. The size of this vector is equal to min(m, n). |
svThreshold | : Threshold used to test the singular values.If a singular value is lower than this threshold we consider that the matrix is not full rank. |
imA | : that is a m - by - r matrix. |
imAt | : that is n - by - r matrix. |
kerAt | : The matrix that contains the null space(kernel) of defined by the matrix .If matrix is full rank, the dimension of kerAt is(0, n), otherwise the dimension is (n - r, n). This matrix is thus the transpose of . |
Here an example to compute the pseudo - inverse of a 2 - by - 3 matrix that is rank 2.
Once build, the previous example produces the following output :
Definition at line 861 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix along with singular values and return the rank of the matrix.
Ap | : The Moore-Penros pseudo inverse . |
sv | Vector corresponding to matrix singular values. The size of this vector is equal to min(m, n). |
svThreshold | : Threshold used to test the singular values. If a singular value is lower than this threshold we consider that the matrix is not full rank. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 481 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix along with singular values and return the rank of the matrix.
Ap | : The Moore-Penros pseudo inverse . | |
sv | Vector corresponding to matrix singular values. The size of this vector is equal to min(m, n). | |
[in] | rank_in | : Known rank of the matrix. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 568 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix along with singular values, and and return the rank of the matrix.
See pseudoInverse(vpMatrix &, vpColVector &, double, vpMatrix &, vpMatrix &, vpMatrix &) const for a complete description of this function.
Ap | : The Moore-Penros pseudo inverse . | |
sv | Vector corresponding to matrix singular values. The size of this vector is equal to min(m, n). | |
[in] | rank_in | : Known rank of the matrix. |
imA | that is a m-by-r matrix. | |
imAt | that is n-by-r matrix. |
Here an example to compute the pseudo-inverse of a 2-by-3 matrix that is rank 2.
Once build, the previous example produces the following output:
Definition at line 750 of file vpMatrix_pseudo_inverse.cpp.
References vpMatrix::pseudoInverse().
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inherited |
Compute the Moore-Penros pseudo inverse of a m-by-n matrix along with singular values, , and and return the rank of the matrix.
Ap | : The Moore - Penros pseudo inverse . | |
sv | : Vector corresponding to matrix singular values.The size of this vector is equal to min(m, n). | |
[in] | rank_in | : Known rank of the matrix. |
imA | : that is a m - by - r matrix. | |
imAt | : that is n - by - r matrix. | |
kerAt | : The matrix that contains the null space(kernel) of defined by the matrix .If matrix is full rank, the dimension of kerAt is(0, n), otherwise the dimension is(n - r, n).This matrix is thus the transpose of . |
Here an example to compute the pseudo - inverse of a 2 - by - 3 matrix that is rank 2.
Once build, the previous example produces the following output :
Definition at line 992 of file vpMatrix_pseudo_inverse.cpp.
References vpException::fatalError, vpMatrix::pseudoInverseEigen3(), vpMatrix::pseudoInverseLapack(), and vpMatrix::pseudoInverseOpenCV().
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Referenced by vpMatrix::pseudoInverse().
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Referenced by vpMatrix::pseudoInverse().
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Referenced by vpMatrix::pseudoInverse().
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Compute the QR decomposition of a (m x n) matrix of rank r. Only available if Lapack 3rd party is installed. If Lapack is not installed we use a Lapack built-in version.
Q | : orthogonal matrix (will be modified). |
R | : upper-triangular matrix (will be modified). |
full | : whether or not we want full decomposition. |
squareR | : will return only the square (min(m,n) x min(m,n)) part of R. |
tol | : tolerance to test the rank of R. |
If full is false (default) then Q is (m x min(n,m)) and R is (min(n,m) x n). We then have this = QR.
If full is true and m > n then Q is (m x m) and R is (n x n). In this case this = Q (R, 0)^T
If squareR is true and n > m then R is (m x m). If r = m then R is invertible.
Here an example:
Definition at line 449 of file vpMatrix_qr.cpp.
References vpException::badValue, vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::fatalError, vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< double >::rowNum.
Referenced by vpLinProg::colReduction().
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inherited |
Compute the QR pivot decomposition of a (m x n) matrix of rank r. Only available if Lapack 3rd party is installed. If Lapack is not installed we use a Lapack built-in version.
Q | : orthogonal matrix (will be modified). |
R | : upper-triangular matrix (will be modified). |
P | : the (n x n) permutation matrix. |
full | : whether or not we want full decomposition. |
squareR | : will return only the (r x r) part of R and the (r x n) part of P. |
tol | : tolerance to test the rank of R. |
If full is false (default) then Q is (m x min(n,m)) and R is (min(n,m) x n). We then have this.P = Q.R.
If full is true and m > n then Q is (m x m) and R is (n x n). In this case this.P = Q (R, 0)^T
If squareR is true then R is (r x r) invertible.
Here an example:
Definition at line 1142 of file vpMatrix_qr.cpp.
References vpException::fatalError.
Referenced by vpLinProg::colReduction(), vpLinProg::rowReduction(), and vpMatrix::solveByQR().
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Definition at line 456 of file vpArray2D.h.
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inlineinherited |
Set the size of the array and initialize all the values to zero.
nrows | : number of rows. |
ncols | : number of column. |
flagNullify | : if true, then the array is re-initialized to 0 after resize. If false, the initial values from the common part of the array (common part between old and new version of the array) are kept. Default value is true. |
recopy_ | : if true, will perform an explicit recopy of the old data. |
Definition at line 362 of file vpArray2D.h.
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inlinestaticinherited |
Save a matrix to a file.
filename | : Absolute file name. |
A | : Array to be saved. |
binary | : If true the matrix is saved in a binary file, else a text file. |
header | : Optional line that will be saved at the beginning of the file. |
Warning : If you save the matrix as in a text file the precision is less than if you save it in a binary file.
Definition at line 874 of file vpArray2D.h.
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inlinestaticinherited |
Save a matrix to a file. This function overloads vpArray2D::save().
filename | : Absolute file name. |
M | : Matrix to be saved. |
binary | : If true the matrix is save as a binary file, otherwise as a text file. |
header | : Optional line that will be saved at the beginning of the file as a header. |
The following example shows how to use this function:
The output of this example is the following:
Matrix saved in matrix.bin My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0 Matrix loaded from matrix.bin My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0
And the content of matrix.bin
file where data are saved as binary data is the following:
% cat matrix.bin My header??@@@%
Definition at line 985 of file vpMatrix.h.
References vpArray2D< Type >::save().
Referenced by vpDot2::defineDots(), and vpLuminancePCA::save().
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inlinestaticinherited |
Save a matrix in a YAML-formatted file. This function overloads vpArray2D::saveYAML().
filename | : Absolute file name. |
M | : Matrix to be saved in the file. |
header | : Optional lines that will be saved at the beginning of the file as a header. |
The following example shows how to use this function:
The output of this example is the following:
Matrix saved in matrix.yaml My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0 Matrix loaded from matrix.yaml My header[2,3]= -1.0 -2.0 -3.0 4.0 5.5 6.0
And the content of matrix.yaml
file is the following:
% cat matrix.yaml My header rows: 2 cols: 3 data: - [-1, -2, -3] - [4, 5.5, 6]
Definition at line 1065 of file vpMatrix.h.
References vpArray2D< Type >::saveYAML().
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inlinestaticinherited |
Save an array in a YAML-formatted file.
filename | : absolute file name. |
A | : array to be saved in the file. |
header | : optional lines that will be saved at the beginning of the file. Should be YAML-formatted and will adapt to the indentation if any. |
Here is an example of outputs.
Content of matrix.yml:
Content of matrixIndent.yml:
Definition at line 972 of file vpArray2D.h.
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inlinestaticinherited |
Modify default size used to determine if Blas/Lapack basic linear algebra operations are enabled.
To get more info see Tutorial: Basic linear algebra operations.
min_size | : Minimum size of rows and columns required for a matrix or a vector to use Blas/Lapack third parties like MKL, OpenBLAS, Netlib or Atlas. When matrix or vector size is lower or equal to this parameter, Blas/Lapack is not used. In that case we prefer use naive code that runs faster for small matrices. |
Definition at line 281 of file vpMatrix.h.
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inlineinherited |
Return the number of elements of the 2D array.
Definition at line 349 of file vpArray2D.h.
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inherited |
Solve a linear system Ax = b using QR Decomposition.
Non destructive wrt. A and B.
b | : Vector b |
Here an example:
Definition at line 1377 of file vpMatrix_qr.cpp.
References vpArray2D< double >::colNum, and vpMatrix::solveByQR().
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inherited |
Solve a linear system Ax = b using QR Decomposition.
Non destructive wrt. A and b.
b | : Vector b |
x | : Vector x |
Here an example:
Definition at line 1322 of file vpMatrix_qr.cpp.
References vpArray2D< double >::colNum, vpMatrix::extract(), vpMatrix::inverseTriangular(), vpMatrix::qrPivot(), and vpMatrix::t().
Referenced by vpMatrix::solveByQR(), and vpQuadProg::solveSVDorQR().
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inherited |
Solve a linear system using Singular Value Decomposition (SVD).
Non destructive wrt. A and B.
B | : Vector . |
Here an example:
Definition at line 184 of file vpMatrix_svd.cpp.
References vpArray2D< double >::colNum, and vpMatrix::solveBySVD().
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inherited |
Solve a linear system using Singular Value Decomposition (SVD).
Non destructive wrt. A and B.
b | : Vector . |
x | : Vector . |
Here an example:
Definition at line 129 of file vpMatrix_svd.cpp.
References vpMatrix::pseudoInverse().
Referenced by vpMeEllipse::leastSquare(), vpMeEllipse::leastSquareRobustCircle(), vpQuadProg::solveByProjection(), vpMatrix::solveBySVD(), vpQuadProg::solveQPe(), and vpQuadProg::solveSVDorQR().
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inherited |
Stack column vector c at the right of the current matrix, or copy if the matrix has no dimensions: this = [ this c ].
Here an example for a robot velocity log matrix:
Here the log matrix has size 6 rows by 100 columns.
Definition at line 312 of file vpMatrix_stack.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::dimensionError, vpArray2D< Type >::getRows(), vpArray2D< double >::resize(), vpArray2D< double >::rowNum, vpArray2D< double >::rowPtrs, and vpArray2D< Type >::size().
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inherited |
Stack A at the end of the current matrix, or copy if the matrix has no dimensions : this = [ this A ]^T.
Definition at line 239 of file vpMatrix_stack.cpp.
References vpArray2D< double >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpMatrix::insert(), vpArray2D< double >::resize(), and vpArray2D< double >::rowNum.
Referenced by vpFeatureVanishingPoint::interaction(), vpFeatureEllipse::interaction(), vpFeaturePoint::interaction(), vpFeaturePoint3D::interaction(), vpFeaturePointPolar::interaction(), vpFeatureSegment::interaction(), vpFeatureThetaU::interaction(), vpFeatureTranslation::interaction(), vpGenericFeature::interaction(), vpLinProg::rowReduction(), and vpMatrix::stack().
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staticinherited |
Stack column vector c to matrix A and return the resulting matrix [ A c ]
A | : Left matrix. |
c | : Right column vector. |
Definition at line 205 of file vpMatrix_stack.cpp.
References vpMatrix::stack().
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staticinherited |
Stack column vector c to the end of matrix A and return the resulting matrix in C.
A | : Left matrix. |
c | : Right column vector. |
C | : Stacked matrix C = [ A c ] |
Definition at line 224 of file vpMatrix_stack.cpp.
References vpArray2D< Type >::data, and vpMatrix::stack().
Stack matrix B to the end of matrix A and return the resulting matrix [ A B ]^T
A | : Upper matrix. |
B | : Lower matrix. |
Definition at line 102 of file vpMatrix_stack.cpp.
References vpMatrix::stack().
Stack matrix B to the end of matrix A and return the resulting matrix in C.
A | : Upper matrix. |
B | : Lower matrix. |
C | : Stacked matrix C = [ A B ]^T |
Definition at line 122 of file vpMatrix_stack.cpp.
References vpArray2D< Type >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), and vpArray2D< Type >::size().
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staticinherited |
Stack row vector r to matrix A and return the resulting matrix [ A r ]^T
A | : Upper matrix. |
r | : Lower row vector. |
Definition at line 166 of file vpMatrix_stack.cpp.
References vpMatrix::stack().
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staticinherited |
Stack row vector r to the end of matrix A and return the resulting matrix in C.
A | : Upper matrix. |
r | : Lower row vector. |
C | : Stacked matrix C = [ A r ]^T |
Definition at line 185 of file vpMatrix_stack.cpp.
References vpArray2D< Type >::data, and vpMatrix::stack().
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inherited |
Stack row vector r at the end of the current matrix, or copy if the matrix has no dimensions: this = [ this r ]^T.
Here an example for a robot velocity log :
Definition at line 271 of file vpMatrix_stack.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< double >::resize(), vpArray2D< double >::rowNum, vpArray2D< double >::size(), and vpArray2D< Type >::size().
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inherited |
Stacks columns of a matrix in a vector.
Definition at line 61 of file vpMatrix_stack.cpp.
References vpArray2D< double >::colNum, and vpArray2D< double >::rowNum.
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inherited |
Stacks columns of a matrix in a vector.
out | : a vpColVector. |
Definition at line 43 of file vpMatrix_stack.cpp.
References vpArray2D< Type >::colNum, vpArray2D< double >::colNum, vpArray2D< Type >::data, vpColVector::resize(), vpArray2D< double >::rowNum, vpArray2D< Type >::rowNum, and vpArray2D< double >::rowPtrs.
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inherited |
Stacks rows of a matrix in a vector.
Definition at line 85 of file vpMatrix_stack.cpp.
References vpArray2D< double >::colNum, and vpArray2D< double >::rowNum.
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inherited |
Stacks rows of a matrix in a vector
out | : a vpRowVector. |
Definition at line 72 of file vpMatrix_stack.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::data, vpArray2D< Type >::data, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpRowVector::resize(), and vpArray2D< double >::rowNum.
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staticinherited |
Operation C = A - B on column vectors.
The result is placed in the third parameter C and not returned. A new vector won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
vpException::dimensionError | If A and B vectors have not the same size. |
Definition at line 424 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpColVector::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
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staticinherited |
Operation C = A - B.
The result is placed in the third parameter C and not returned. A new matrix won't be allocated for every use of the function (speed gain if used many times with the same result matrix size).
vpException::dimensionError | If A and B matrices have not the same size. |
Definition at line 458 of file vpMatrix_operations.cpp.
References vpArray2D< Type >::colNum, vpException::dimensionError, vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< Type >::resize(), vpArray2D< Type >::rowNum, and vpArray2D< Type >::rowPtrs.
Referenced by vpMatrix::operator-().
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inherited |
Return the sum of all the elements of the matrix.
Definition at line 687 of file vpMatrix_operators.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
Referenced by vpMatrix::expm().
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inherited |
Return the sum square of all the elements of the matrix .
Definition at line 1975 of file vpMatrix.cpp.
References vpArray2D< double >::colNum, vpArray2D< double >::rowNum, and vpArray2D< double >::rowPtrs.
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inherited |
Matrix singular value decomposition (SVD).
This function calls the first following function that is available:
If none of these previous 3rd parties is installed, we use by default svdLapack() with a Lapack built-in version.
Given matrix , this function computes it singular value decomposition such as
w | : Vector of singular values: . |
V | : Matrix . |
The matrix object `(*this) is updated with .
Here an example of SVD decomposition of a non square Matrix M.
Definition at line 259 of file vpMatrix_svd.cpp.
References vpException::fatalError, vpMatrix::svdEigen3(), vpMatrix::svdLapack(), and vpMatrix::svdOpenCV().
Referenced by vpHomogeneousMatrix::compute3d3dTransformation(), vpMatrix::cond(), vpMatrix::dampedInverse(), vpHomography::DLT(), vpMbtFaceDepthNormal::estimatePlaneEquationSVD(), vpMatrix::inducedL2Norm(), vpMatrix::kernel(), vpLuminancePCA::learn(), vpMatrix::nullSpace(), vpRotationMatrix::orthogonalize(), and vpMatrix::svdEigen3().
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inherited |
Singular value decomposition (SVD) using Eigen3 3rd party.
Given matrix , this function computes it singular value decomposition such as
w | : Vector of singular values: . |
V | : Matrix . |
The matrix object (*this)
is updated with .
Here an example of SVD decomposition of a non square Matrix M.
Definition at line 643 of file vpMatrix_svd.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpArray2D< double >::getCols(), vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), vpArray2D< double >::getRows(), vpColVector::resize(), vpArray2D< double >::resize(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, vpArray2D< Type >::size(), and vpMatrix::svd().
Referenced by vpMatrix::svd().
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inherited |
Singular value decomposition (SVD) using Lapack 3rd party.
Given matrix , this function computes it singular value decomposition such as
w | : Vector of singular values: . |
V | : Matrix . |
The matrix object (*this)
is updated with .
Here an example of SVD decomposition of a non square Matrix M.
Definition at line 436 of file vpMatrix_svd.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpException::fatalError, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpColVector::resize(), vpArray2D< Type >::resize(), vpArray2D< double >::rowNum, and vpMatrix::transpose().
Referenced by vpMatrix::svd().
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inherited |
Singular value decomposition (SVD) using OpenCV 3rd party.
Given matrix , this function computes it singular value decomposition such as
w | : Vector of singular values: . |
V | : Matrix . |
The matrix object (*this)
is updated with .
Here an example of SVD decomposition of a non square Matrix M.
Definition at line 345 of file vpMatrix_svd.cpp.
References vpArray2D< Type >::data, vpArray2D< double >::data, vpArray2D< double >::getCols(), vpArray2D< double >::getRows(), vpColVector::resize(), vpArray2D< Type >::resize(), vpArray2D< double >::resize(), and vpMatrix::transpose().
Referenced by vpMatrix::svd().
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inherited |
Compute and return the transpose of the matrix.
Definition at line 46 of file vpMatrix_operations.cpp.
References vpMatrix::transpose().
Referenced by vpLinProg::colReduction(), vpHomogeneousMatrix::compute3d3dTransformation(), vpServo::computeControlLaw(), vpMatrix::computeCovarianceMatrix(), vpTemplateTracker::computeOptimalBrentGain(), vpMatrix::eigenValues(), vpMbtFaceDepthNormal::estimatePlaneEquationSVD(), vpKalmanFilter::filtering(), vpTemplateTrackerWarpHomographySL3::findWarp(), vpQuadProg::fromCanonicalCost(), vpLuminanceDCT::interaction(), vpLuminanceDCT::inverse(), vpLuminancePCA::learn(), vpHomogeneousMatrix::mean(), vpRotationMatrix::mean(), vpMatrix::operator=(), vpRotationMatrix::orthogonalize(), vpKalmanFilter::prediction(), vpLinProg::simplex(), vpMatrix::solveByQR(), and vpMatrix::vpMatrix().
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inherited |
Compute and return the transpose of the matrix.
Definition at line 53 of file vpMatrix_operations.cpp.
Referenced by vpLinProg::colReduction(), vpMatrix::dampedInverse(), vpQuadProg::fromCanonicalCost(), vpLuminancePCA::learn(), vpLinProg::rowReduction(), vpLinProg::solveLP(), vpQuadProg::solveQPi(), vpMatrix::svdLapack(), vpMatrix::svdOpenCV(), vpMatrix::t(), and vpUnscentedKalman::update().
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inherited |
Compute At the transpose of the matrix.
At | (output) : Resulting transpose matrix. |
Definition at line 65 of file vpMatrix_operations.cpp.
References vpArray2D< double >::colNum, vpArray2D< Type >::data, vpArray2D< double >::data, vpArray2D< Type >::resize(), and vpArray2D< double >::rowNum.
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related |
Insert array B in array A at the given position.
A | : Main array. |
B | : Array to insert. |
C | : Result array. |
r | : Index of the row where to insert array B. |
c | : Index of the column where to insert array B. |
Definition at line 1096 of file vpArray2D.h.
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related |
Insert matrix B in matrix A at the given position.
A | : Main matrix. |
B | : Matrix to insert. |
C | : Result matrix. |
r | : Index of the row where to insert matrix B. |
c | : Index of the column where to insert matrix B. |
Definition at line 737 of file vpMatrix.cpp.
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related |
Definition at line 1351 of file vpArray2D.h.
Allow to multiply a scalar by a matrix.
Definition at line 816 of file vpMatrix_operators.cpp.
References vpArray2D< Type >::getCols(), vpArray2D< Type >::getRows(), and vpArray2D< Type >::resize().
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related |
Definition at line 1313 of file vpArray2D.h.
|
related |
Definition at line 1332 of file vpArray2D.h.
|
related |
This function performs generalized matrix multiplication: D = alpha*op(A)*op(B) + beta*op(C), where op(X) is X or X^T. Operation on A, B and C matrices is described by enumeration vpGEMMmethod().
For example, to compute D = alpha*A^T*B^T+beta*C we need to call :
If C is not used, vpGEMM must be called using an empty array null. Thus to compute D = alpha*A^T*B, we have to call:
vpException::incorrectMatrixSizeError | if the sizes of the matrices do not allow the operations. |
A | : An array that could be a vpMatrix. |
B | : An array that could be a vpMatrix. |
alpha | : A scalar. |
C | : An array that could be a vpMatrix. |
beta | : A scalar. |
D | : The resulting array that could be a vpMatrix. |
ops | : A scalar describing operation applied on the matrices. Possible values are the one defined in vpGEMMmethod(): VP_GEMM_A_T, VP_GEMM_B_T, VP_GEMM_C_T. |
|
related |
Enumeration of the operations applied on matrices in vpGEMM() function.
Operations are :
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protectedinherited |
Number of columns in the array.
Definition at line 1103 of file vpArray2D.h.
|
inherited |
Address of the first element of the data array.
Definition at line 148 of file vpArray2D.h.
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protectedinherited |
Current array size (rowNum * colNum)
Definition at line 1107 of file vpArray2D.h.
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protected |
Definition at line 85 of file vpSubMatrix.h.
Referenced by checkParentStatus(), init(), and operator=().
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protected |
Definition at line 84 of file vpSubMatrix.h.
Referenced by checkParentStatus(), init(), and operator=().
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protected |
Definition at line 83 of file vpSubMatrix.h.
Referenced by checkParentStatus(), init(), and operator=().
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protectedinherited |
Number of rows in the array.
Definition at line 1101 of file vpArray2D.h.
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protectedinherited |
Address of the first element of each rows.
Definition at line 1105 of file vpArray2D.h.