IPSDKCore/html/a14573_source.html

 // SingularValueDecomposition.h:
 // -----------------------------
 //

 #ifndef __IPSDKMATH_SINGULARVALUEDECOMPOSITION_H__
 #define __IPSDKMATH_SINGULARVALUEDECOMPOSITION_H__

 #include <IPSDKMath/IPSDKMathExports.h>
 #include <IPSDKMath/LinearAlgebra/LinearAlgebraTypes.h>

 namespace ipsdk {
 namespace math {


 IPSDKMATH_API ipUInt32
 svdSolve(const Matrix& matA, const Vector& vecB,
          Vector& vecX);

 IPSDKMATH_API ipUInt32
 svdSolve(const Matrix& matA, const Matrix& matB,
          Matrix& matX);

 IPSDKMATH_API ipUInt32
 svdSolve(const Matrix& matA,
          Vector& vecX);

 IPSDKMATH_API void
 svdDecomposition(const Matrix& matA,
                  Matrix& matU, Vector& vecS, Matrix& matVt);

 IPSDKMATH_API ipUInt32
 svdInverse(const Matrix& matA,
            Matrix& matInvA);


 } // end of namespace math
 } // end of namespace ipsdk

 #endif // __IPSDKMATH_SINGULARVALUEDECOMPOSITION_H__
IPSDKMathExports.h
Definition of import/export macro for library.

ipsdk::math::Matrix
boost::numeric::ublas::matrix< ipReal64 > Matrix
matrix type associated to library
Definition: LinearAlgebraTypes.h:48

ipsdk
Main namespace for IPSDK library.
Definition: AlgorithmFunctionEfficiency.h:22

LinearAlgebraTypes.h
Predefined types for linear algebra management.

ipsdk::math::svdInverse
IPSDKMATH_API ipUInt32 svdInverse(const Matrix &matA, Matrix &matInvA)
inversion of a mxn rectangular matrix with m >= n using singular value decomposition method...

ipsdk::math::Vector
boost::numeric::ublas::vector< ipReal64 > Vector
vector type associated to library
Definition: LinearAlgebraTypes.h:36

IPSDKMATH_API
#define IPSDKMATH_API
Import/Export macro for library IPSDKMath.
Definition: IPSDKMathExports.h:27

ipsdk::math::svdDecomposition
IPSDKMATH_API void svdDecomposition(const Matrix &matA, Matrix &matU, Vector &vecS, Matrix &matVt)
singular value decomposition of mxn matrix Given mn = min(m,n), we have :

ipsdk::ipUInt32
uint32_t ipUInt32
Base types definition.
Definition: BaseTypes.h:53

ipsdk::math::svdSolve
IPSDKMATH_API ipUInt32 svdSolve(const Matrix &matA, const Vector &vecB, Vector &vecX)
over constrained linear system resolution using singular value decomposition method Solved system is ...