MF_solveBySVD
 MD_solveBySVD 
ME_solveBySVD 

Function  solve a possibly over or underdetermined linear system by singular value decomposition 

Syntax C/C++  #include <MFstd.h>
int MF_solveBySVD( fVector X, fMatrix MA, fVector B, ui htA, ui lenA ); 
C++ MatObj  #include <OptiVec.h>
void vector<T>::solveBySVD( const matrix<T>& MA, const vector<T>& B ); 
Pascal/Delphi  uses MFstd;
function MF_solveBySVD( X:fVector; MA:fMatrix; B:fVector; htA, lenA:UIntSize ): IntBool; 

Description  The system MA * X = B of simultaneous linear equations is solved for X, using Singular Value Decomposition. Here, underdetermined systems do not lead to an error. Rather, you get one particular solution out of the solution space. If you have more equations than unknowns, i.e., in the case of an overdetermined system, the solution vector contains a leastsquare "compromise" between the equations.
The function should always return FALSE (0). Only in the very rare case of SVD failure, TRUE (1) is returned. The length of the desired solution vector, sizX must be equal to the width of the input matrix, lenA, whereas the length of the righthandside vector, sizB must be equal to htA.
The threshold for singularvalue editing should be set using MF_SVDsetEdit. 

Return value  usually FALSE (0); only in the very rare case of failure, TRUE (1) 

