given a sparse input matrix, produces a sparse output matrix with each vector normalized to unit length with respect to a p-norm (default p=2).
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#include <vtkNormalizeMatrixVectors.h>
Inherits vtkArrayDataAlgorithm.
given a sparse input matrix, produces a sparse output matrix with each vector normalized to unit length with respect to a p-norm (default p=2).
- Thanks:
- Developed by Timothy M. Shead (tshea.nosp@m.d@sa.nosp@m.ndia..nosp@m.gov) at Sandia National Laboratories.
- Tests:
- vtkNormalizeMatrixVectors (Tests)
Definition at line 40 of file vtkNormalizeMatrixVectors.h.
vtkNormalizeMatrixVectors::vtkNormalizeMatrixVectors |
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vtkNormalizeMatrixVectors::~vtkNormalizeMatrixVectors |
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static int vtkNormalizeMatrixVectors::IsTypeOf |
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const char * |
type | ) |
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virtual int vtkNormalizeMatrixVectors::IsA |
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const char * |
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virtual vtkObjectBase* vtkNormalizeMatrixVectors::NewInstanceInternal |
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const |
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void vtkNormalizeMatrixVectors::PrintSelf |
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ostream & |
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vtkIndent |
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virtual int vtkNormalizeMatrixVectors::GetVectorDimension |
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Controls whether to normalize row-vectors or column-vectors. 0 = rows, 1 = columns.
virtual void vtkNormalizeMatrixVectors::SetVectorDimension |
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int |
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Controls whether to normalize row-vectors or column-vectors. 0 = rows, 1 = columns.
virtual double vtkNormalizeMatrixVectors::GetPValue |
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Value of p in p-norm normalization, subject to p >= 1. Default is p=2 (Euclidean norm).
virtual void vtkNormalizeMatrixVectors::SetPValue |
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double |
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Value of p in p-norm normalization, subject to p >= 1. Default is p=2 (Euclidean norm).
int vtkNormalizeMatrixVectors::RequestData |
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vtkInformation * |
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vtkInformationVector ** |
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vtkInformationVector * |
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int vtkNormalizeMatrixVectors::VectorDimension |
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double vtkNormalizeMatrixVectors::PValue |
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The documentation for this class was generated from the following file: