﻿DoubleComplexSVDecomp Class

# DoubleComplexSVDecomp Class

Class DoubleComplexSVDecomp represents the singular value decomposition (SVD) of a matrix.
Inheritance Hierarchy
SystemObject
CenterSpace.NMath.CoreDoubleComplexSVDecomp

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.4
Syntax
[SerializableAttribute]
public class DoubleComplexSVDecomp : ICloneable

The DoubleComplexSVDecomp type exposes the following members.

Constructors
NameDescription
DoubleComplexSVDecomp
Constructs an empty singular value decomposition instance.
DoubleComplexSVDecomp(DoubleComplexMatrix)
Constructs a singular value decomposition of a given matrix.
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Properties
NameDescription
Cols
Gets the number of columns in the matrix that the decomposition represents.
Fail
Gets the status of the decomposition.
LeftVectors
Gets the matrix whose columns are the left singular vectors of this decomposition.
NumberLeftVectors
Gets the number of left singular vectors in the decomposition.
NumberRightVectors
Gets the number of right singular vectors in the decomposition.
Rank
Gets the rank of the matrix which this decomposition represents.
RightVectors
Gets the matrix whose columns are the right singular vectors of this decomposition.
Rows
Gets the number of rows in the matrix that this decomposition represents.
SingularValues
Gets the singular values of this decomposition. The values are non-negative and arranged in decreasing order.
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Methods
NameDescription
Clone
Creates a deep copy of this decomposition.
Factor
Builds a decomposition for the matrix A.
LeftVector
Returns the specified left singular vector.
RightVector
Returns the specified right singular vector.
SingularValue
Returns the specified singular value.
Truncate
Truncates all singular values that are less than a given tolerance by setting them to zero.
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Remarks
The singular value decomposition is a representation of a matrix A of the form:
A = USV'
where U and V are orthogonal, S is diagonal, and V' denotes the transpose of the matrix V. The entries along the diagonal of S are the singular values. The columns of U are the left singular vectors, and the columns of V are the right singular vectors. By default, the reduced singular value decomposition and all singular vectors are computed. If you want the full singular value decomposition, or just the singular values computed, use class DoubleSVDecompServer.