A utility class that contains static functions for various useful commonly used computations.
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#include <src/PlusCommon/PlusMath.h>
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| static void | ConvertVnlMatrixToVtkMatrix (const vnl_matrix_fixed< double, 4, 4 > &inVnlMatrix, vtkMatrix4x4 *outVtkMatrix) |
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| static void | ConvertVtkMatrixToVnlMatrix (const vtkMatrix4x4 *inVtkMatrix, vnl_matrix_fixed< double, 4, 4 > &outVnlMatrix) |
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| static void | LogMatrix (const vnl_matrix_fixed< double, 4, 4 > &matrix, int precision=3) |
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| static PlusStatus | LSQRMinimize (const std::vector< std::vector< double > > &aMatrix, const std::vector< double > &bVector, vnl_vector< double > &resultVector, double *mean=NULL, double *stdev=NULL, vnl_vector< unsigned int > *notOutliersIndices=NULL) |
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| static PlusStatus | LSQRMinimize (const std::vector< vnl_vector< double > > &aMatrix, const std::vector< double > &bVector, vnl_vector< double > &resultVector, double *mean=NULL, double *stdev=NULL, vnl_vector< unsigned int > *notOutliersIndices=NULL) |
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| static PlusStatus | LSQRMinimize (const vnl_sparse_matrix< double > &sparseMatrixLeftSide, const vnl_vector< double > &vectorRightSide, vnl_vector< double > &resultVector, double *mean=NULL, double *stdev=NULL, vnl_vector< unsigned int > *notOutliersIndices=NULL) |
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| static void | PrintMatrix (vnl_matrix_fixed< double, 4, 4 > matrix, std::ostringstream &stream, int precision=3) |
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| static PlusStatus | RemoveOutliersFromLSQR (vnl_sparse_matrix< double > &sparseMatrixLeftSide, vnl_vector< double > &vectorRightSide, vnl_vector< double > &resultVector, bool &outlierFound, double thresholdMultiplier=3.0, double *mean=NULL, double *stdev=NULL, vnl_vector< unsigned int > *nonOutlierIndices=NULL) |
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A utility class that contains static functions for various useful commonly used computations.
Definition at line 37 of file PlusMath.h.
◆ PlusMath()
◆ ~PlusMath()
◆ ConvertVnlMatrixToVtkMatrix()
| void PlusMath::ConvertVnlMatrixToVtkMatrix |
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const vnl_matrix_fixed< double, 4, 4 > & |
inVnlMatrix, |
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vtkMatrix4x4 * |
outVtkMatrix |
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Convert matrix between VTK and VNL
Definition at line 361 of file PlusMath.cxx.
◆ ConvertVtkMatrixToVnlMatrix()
| void PlusMath::ConvertVtkMatrixToVnlMatrix |
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const vtkMatrix4x4 * |
inVtkMatrix, |
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vnl_matrix_fixed< double, 4, 4 > & |
outVnlMatrix |
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◆ LogMatrix()
| void PlusMath::LogMatrix |
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const vnl_matrix_fixed< double, 4, 4 > & |
matrix, |
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int |
precision = 3 |
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◆ LSQRMinimize() [1/3]
| PlusStatus PlusMath::LSQRMinimize |
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const std::vector< std::vector< double > > & |
aMatrix, |
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const std::vector< double > & |
bVector, |
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vnl_vector< double > & |
resultVector, |
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double * |
mean = NULL, |
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double * |
stdev = NULL, |
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vnl_vector< unsigned int > * |
notOutliersIndices = NULL |
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Solve Ax = b sparse linear equations with robust linear least squares method (vnl_lsqr and outlier removal)
- Parameters
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| aMatrix | The coefficient matrix of size m-by-n. |
| bVector | Column vector of length m. |
| mean | Pointer to get the resulting mean of the the LSQR fit error |
| stdev | Pointer to get the resulting standard deviation of the the LSQR fit error |
| resultVector | to store the results |
| notOutlierIndices | Row that were not removed during the outliers rejection process |
Definition at line 34 of file PlusMath.cxx.
◆ LSQRMinimize() [2/3]
| PlusStatus PlusMath::LSQRMinimize |
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const std::vector< vnl_vector< double > > & |
aMatrix, |
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const std::vector< double > & |
bVector, |
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vnl_vector< double > & |
resultVector, |
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double * |
mean = NULL, |
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double * |
stdev = NULL, |
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vnl_vector< unsigned int > * |
notOutliersIndices = NULL |
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static |
Solve Ax = b sparse linear equations with robust linear least squares method (vnl_lsqr and outlier removal)
- Parameters
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| aMatrix | The coefficient matrix of size m-by-n. |
| bVector | Column vector of length m. |
| mean | Pointer to get the resulting mean of the the LSQR fit error |
| stdev | Pointer to get the resulting standard deviation of the the LSQR fit error |
| resultVector | to store the results |
| notOutlierIndices | Row that were not removed during the outliers rejection process |
Definition at line 70 of file PlusMath.cxx.
◆ LSQRMinimize() [3/3]
| PlusStatus PlusMath::LSQRMinimize |
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const vnl_sparse_matrix< double > & |
sparseMatrixLeftSide, |
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const vnl_vector< double > & |
vectorRightSide, |
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vnl_vector< double > & |
resultVector, |
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double * |
mean = NULL, |
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double * |
stdev = NULL, |
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vnl_vector< unsigned int > * |
notOutliersIndices = NULL |
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Solve Ax = b sparse linear equations with robust linear least squares method (vnl_lsqr and outlier removal)
- Parameters
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| sparseMatrixLeftSide | The coefficient matrix of size m-by-n. (aMatrix) |
| vectorRightSide | Column vector of length m. (bVector) |
| mean | Pointer to get the resulting mean of the the LSQR fit error |
| stdev | Pointer to get the resulting standard deviation of the the LSQR fit error |
| resultVector | to store the results |
Definition at line 111 of file PlusMath.cxx.
◆ PrintMatrix()
| void PlusMath::PrintMatrix |
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vnl_matrix_fixed< double, 4, 4 > |
matrix, |
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std::ostringstream & |
stream, |
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int |
precision = 3 |
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◆ RemoveOutliersFromLSQR()
| PlusStatus PlusMath::RemoveOutliersFromLSQR |
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vnl_sparse_matrix< double > & |
sparseMatrixLeftSide, |
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vnl_vector< double > & |
vectorRightSide, |
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vnl_vector< double > & |
resultVector, |
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bool & |
outlierFound, |
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double |
thresholdMultiplier = 3.0, |
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double * |
mean = NULL, |
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double * |
stdev = NULL, |
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vnl_vector< unsigned int > * |
nonOutlierIndices = NULL |
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staticprotected |
Remove outliers from Ax = b sparse linear equations after linear least squares method (vnl_lsqr)
Definition at line 196 of file PlusMath.cxx.
The documentation for this class was generated from the following files:
