Overload List
| # | Signature | Description |
|---|---|---|
| 1 | int SVDSolve(TVec *B, TVec *X, TVec *S, double Threshold = 1E-9) const; | Calculates the minimum norm solution to a real linear least squares problem. |
| 2 | int SVDSolve(TMtx *B, TMtx *X, TVec *S, double Threshold = 1E-9) const; | Matrix version of SVDSolve. Perfroms a SVDSolve for each U and V matrices columns in single pass. |
Overload 1: int SVDSolve(TVec *B, TVec *X, TVec *S, double Threshold = 1E-9) const;
Calculates the minimum norm solution to a real linear least squares problem.
Remarks:
Calculates the minimum norm solution to a real linear least squares problem.
Minimize 2-norm(| b - A*x |).
using the singular value decomposition (SVD) of the calling matrix A. A is an Rows-by-Cols matrix which may be rank-deficient. Several right hand side vectors b and solution vectors x can be handled in a single call. The effective rank of A is determined by treating as zero those singular values which are less than Threshold times the largest singular value and is returned by the function. The S vector holds the singular values on the output.
Examples
#include "MtxExpr.h"
using namespace Dew;
using namespace Dew::Math;
void Example()
{
Vector X, B, D;
Matrix V;
B.SetIt(false, DewArray<double>{0, 2, 3});
V.SetIt(3, 3, false, DewArray<double>{1, 2, 3, 3, 4, 5, 6, 7, 7});
V.SVDSolve(B, X, D); // matrix V can be non-quadratic
}
See Also: Matrix::SVD
Declared in Dew::Math::Matrix · Dew.Math/MtxExpr.h · Cross-compiler
Overload 2: int SVDSolve(TMtx *B, TMtx *X, TVec *S, double Threshold = 1E-9) const;
Matrix version of SVDSolve. Perfroms a SVDSolve for each U and V matrices columns in single pass.
Examples
#include "MtxExpr.h"
using namespace Dew;
using namespace Dew::Math;
void Example()
{
Vector X, B, D;
Matrix V;
B = {0, 2, 3};
V = {{1, 2, 3}, {3, 4, 5}, {6, 7, 7}};
V.SVDSolve(B, X, D); // matrix V can be non-quadratic
}
Declared in Dew::Math::Matrix · Dew.Math/MtxExpr.h · Cross-compiler