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LinearLeastSquaresSVDdcSolve(Matrix, Matrix, Double) Method

Computes the minimum-norm solution to a real linear least squares problem: minimize 2-norm(|| A*X - B||) using the singular value decomposition (SVD) of A. The matrix A can be rank-deficient.

Namespace: DotNumerics.LinearAlgebra
Assembly: DWSIM.MathOps.DotNumerics (in DWSIM.MathOps.DotNumerics.dll) Version: 1.0.0.0 (1.0.0.0)
Syntax
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public Matrix SVDdcSolve(
	Matrix A,
	Matrix B,
	double rcond
)
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Parameters

A  Matrix
The A matrix.
B  Matrix
The matrix containing the right-hand side of the linear system.
rcond  Double
rcond is used to determine the effective rank of A. Singular values S(i) .LE. rcond*S(1) are treated as zero.

Return Value

Matrix
A matrix containing the solution.
See Also