C# 클래스 MathNet.Numerics.LinearAlgebra.Complex32.DenseMatrix

상속: System.Matrix

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공개 메소드들

메소드	설명
Cholesky ( ) : Cholesky
Create ( int rows, int columns, Complex32 value ) : DenseMatrix	Create a new dense matrix and initialize each value to the same provided value.
Create ( int rows, int columns, Func init ) : DenseMatrix	Create a new dense matrix and initialize each value using the provided init function.
CreateDiagonal ( int rows, int columns, Complex32 value ) : DenseMatrix	Create a new diagonal dense matrix and initialize each diagonal value to the same provided value.
CreateDiagonal ( int rows, int columns, Complex32>.Func init ) : DenseMatrix	Create a new diagonal dense matrix and initialize each diagonal value using the provided init function.
CreateIdentity ( int order ) : DenseMatrix	Create a new square sparse identity matrix where each diagonal value is set to One.
CreateRandom ( int rows, int columns, IContinuousDistribution distribution ) : DenseMatrix	Create a new dense matrix with values sampled from the provided random distribution.
DenseMatrix ( DenseColumnMajorMatrixStorage storage ) : System	Create a new dense matrix straight from an initialized matrix storage instance. The storage is used directly without copying. Intended for advanced scenarios where you're working directly with storage for performance or interop reasons.
DenseMatrix ( int order ) : System	Create a new square dense matrix with the given number of rows and columns. All cells of the matrix will be initialized to zero. Zero-length matrices are not supported.
DenseMatrix ( int rows, int columns ) : System	Create a new dense matrix with the given number of rows and columns. All cells of the matrix will be initialized to zero. Zero-length matrices are not supported.
DenseMatrix ( int rows, int columns, Complex32 storage ) : System	Create a new dense matrix with the given number of rows and columns directly binding to a raw array. The array is assumed to be in column-major order (column by column) and is used directly without copying. Very efficient, but changes to the array and the matrix will affect each other.
Evd ( Symmetricity symmetricity = Symmetricity.Unknown ) : Evd
FrobeniusNorm ( ) : double	Calculates the entry-wise Frobenius norm of this matrix.
GramSchmidt ( ) : GramSchmidt
InfinityNorm ( ) : double	Calculates the induced infinity norm of this matrix.
IsHermitian ( ) : bool	Evaluates whether this matrix is hermitian (conjugate symmetric).
IsSymmetric ( ) : bool	Evaluates whether this matrix is symmetric.
L1Norm ( ) : double	Calculates the induced L1 norm of this matrix.
LU ( ) : LU
OfArray ( Complex32 array ) : DenseMatrix	Create a new dense matrix as a copy of the given two-dimensional array. This new matrix will be independent from the provided array. A new memory block will be allocated for storing the matrix.
OfColumnArrays ( ) : DenseMatrix	Create a new dense matrix as a copy of the given column arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.
OfColumnArrays ( IEnumerable columns ) : DenseMatrix	Create a new dense matrix as a copy of the given column arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.
OfColumnMajor ( int rows, int columns, IEnumerable columnMajor ) : DenseMatrix	Create a new dense matrix as a copy of the given enumerable. The enumerable is assumed to be in column-major order (column by column). This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the matrix.
OfColumnVectors ( ) : DenseMatrix	Create a new dense matrix as a copy of the given column vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.
OfColumnVectors ( IEnumerable columns ) : DenseMatrix	Create a new dense matrix as a copy of the given column vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.
OfColumns ( IEnumerable data ) : DenseMatrix	Create a new dense matrix as a copy of the given enumerable of enumerable columns. Each enumerable in the master enumerable specifies a column. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix.
OfColumns ( int rows, int columns, IEnumerable data ) : DenseMatrix	Create a new dense matrix as a copy of the given enumerable of enumerable columns. Each enumerable in the master enumerable specifies a column. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix.
OfDiagonalArray ( Complex32 diagonal ) : DenseMatrix	Create a new dense matrix with the diagonal as a copy of the given array. This new matrix will be independent from the array. A new memory block will be allocated for storing the matrix.
OfDiagonalArray ( int rows, int columns, Complex32 diagonal ) : DenseMatrix	Create a new dense matrix with the diagonal as a copy of the given array. This new matrix will be independent from the array. A new memory block will be allocated for storing the matrix.
OfDiagonalVector ( Vector diagonal ) : DenseMatrix	Create a new dense matrix with the diagonal as a copy of the given vector. This new matrix will be independent from the vector. A new memory block will be allocated for storing the matrix.
OfDiagonalVector ( int rows, int columns, Vector diagonal ) : DenseMatrix	Create a new dense matrix with the diagonal as a copy of the given vector. This new matrix will be independent from the vector. A new memory block will be allocated for storing the matrix.
OfIndexed ( int rows, int columns, IEnumerable enumerable ) : DenseMatrix	Create a new dense matrix as a copy of the given indexed enumerable. Keys must be provided at most once, zero is assumed if a key is omitted. This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the matrix.
OfMatrix ( Matrix matrix ) : DenseMatrix	Create a new dense matrix as a copy of the given other matrix. This new matrix will be independent from the other matrix. A new memory block will be allocated for storing the matrix.
OfRowArrays ( ) : DenseMatrix	Create a new dense matrix as a copy of the given row arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.
OfRowArrays ( IEnumerable rows ) : DenseMatrix	Create a new dense matrix as a copy of the given row arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.
OfRowVectors ( ) : DenseMatrix	Create a new dense matrix as a copy of the given row vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.
OfRowVectors ( IEnumerable rows ) : DenseMatrix	Create a new dense matrix as a copy of the given row vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.
OfRows ( IEnumerable data ) : DenseMatrix	Create a new dense matrix as a copy of the given enumerable of enumerable rows. Each enumerable in the master enumerable specifies a row. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix.
OfRows ( int rows, int columns, IEnumerable data ) : DenseMatrix	Create a new dense matrix as a copy of the given enumerable of enumerable rows. Each enumerable in the master enumerable specifies a row. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix.
QR ( QRMethod method = QRMethod.Thin ) : QR
Svd ( bool computeVectors = true ) : Svd
Trace ( ) : Complex32	Computes the trace of this matrix.
operator ( ) : DenseMatrix	Multiplies a Matrix by a constant and returns the result.
operator ( ) : MathNet.Numerics.LinearAlgebra.Complex32.DenseVector	Multiplies a Matrix and a Vector.

보호된 메소드들

메소드	설명
DoAdd ( Complex32 scalar, Matrix result ) : void	Add a scalar to each element of the matrix and stores the result in the result vector.
DoAdd ( Matrix other, Matrix result ) : void	Adds another matrix to this matrix.
DoConjugate ( Matrix result ) : void	Complex conjugates each element of this matrix and place the results into the result matrix.
DoConjugateTransposeAndMultiply ( Matrix other, Matrix result ) : void	Multiplies this matrix with the conjugate transpose of another matrix and places the results into the result matrix.
DoConjugateTransposeThisAndMultiply ( Matrix other, Matrix result ) : void	Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.
DoConjugateTransposeThisAndMultiply ( Vector rightSide, Vector result ) : void	Multiplies the conjugate transpose of this matrix with a vector and places the results into the result vector.
DoDivide ( Complex32 divisor, Matrix result ) : void	Divides each element of the matrix by a scalar and places results into the result matrix.
DoMultiply ( Complex32 scalar, Matrix result ) : void	Multiplies each element of the matrix by a scalar and places results into the result matrix.
DoMultiply ( Matrix other, Matrix result ) : void	Multiplies this matrix with another matrix and places the results into the result matrix.
DoMultiply ( Vector rightSide, Vector result ) : void	Multiplies this matrix with a vector and places the results into the result vector.
DoNegate ( Matrix result ) : void	Negate each element of this matrix and place the results into the result matrix.
DoPointwiseDivide ( Matrix divisor, Matrix result ) : void	Pointwise divide this matrix by another matrix and stores the result into the result matrix.
DoPointwiseMultiply ( Matrix other, Matrix result ) : void	Pointwise multiplies this matrix with another matrix and stores the result into the result matrix.
DoSubtract ( Complex32 scalar, Matrix result ) : void	Subtracts a scalar from each element of the matrix and stores the result in the result vector.
DoSubtract ( Matrix other, Matrix result ) : void	Subtracts another matrix from this matrix.
DoTransposeAndMultiply ( Matrix other, Matrix result ) : void	Multiplies this matrix with transpose of another matrix and places the results into the result matrix.
DoTransposeThisAndMultiply ( Matrix other, Matrix result ) : void	Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.
DoTransposeThisAndMultiply ( Vector rightSide, Vector result ) : void	Multiplies the transpose of this matrix with a vector and places the results into the result vector.

메소드 상세

Cholesky() 공개 메소드

public Cholesky ( ) : Cholesky
리턴	Cholesky

Create() 공개 정적인 메소드

Create a new dense matrix and initialize each value to the same provided value.

public static Create ( int rows, int columns, Complex32 value ) : DenseMatrix
rows	int
columns	int
value	Complex32
리턴	DenseMatrix

Create() 공개 정적인 메소드

Create a new dense matrix and initialize each value using the provided init function.

public static Create ( int rows, int columns, Func init ) : DenseMatrix
rows	int
columns	int
init	Func
리턴	DenseMatrix

CreateDiagonal() 공개 정적인 메소드

Create a new diagonal dense matrix and initialize each diagonal value to the same provided value.

public static CreateDiagonal ( int rows, int columns, Complex32 value ) : DenseMatrix
rows	int
columns	int
value	Complex32
리턴	DenseMatrix

CreateDiagonal() 공개 정적인 메소드

Create a new diagonal dense matrix and initialize each diagonal value using the provided init function.

public static CreateDiagonal ( int rows, int columns, Complex32>.Func init ) : DenseMatrix
rows	int
columns	int
init	Complex32>.Func
리턴	DenseMatrix

CreateIdentity() 공개 정적인 메소드

Create a new square sparse identity matrix where each diagonal value is set to One.

public static CreateIdentity ( int order ) : DenseMatrix
order	int
리턴	DenseMatrix

CreateRandom() 공개 정적인 메소드

Create a new dense matrix with values sampled from the provided random distribution.

public static CreateRandom ( int rows, int columns, IContinuousDistribution distribution ) : DenseMatrix
rows	int
columns	int
distribution	IContinuousDistribution
리턴	DenseMatrix

DenseMatrix() 공개 메소드

Create a new dense matrix straight from an initialized matrix storage instance. The storage is used directly without copying. Intended for advanced scenarios where you're working directly with storage for performance or interop reasons.

public DenseMatrix ( DenseColumnMajorMatrixStorage storage ) : System
storage	DenseColumnMajorMatrixStorage
리턴	System

DenseMatrix() 공개 메소드

Create a new square dense matrix with the given number of rows and columns. All cells of the matrix will be initialized to zero. Zero-length matrices are not supported.

If the order is less than one.

public DenseMatrix ( int order ) : System
order	int
리턴	System

DenseMatrix() 공개 메소드

Create a new dense matrix with the given number of rows and columns. All cells of the matrix will be initialized to zero. Zero-length matrices are not supported.

If the row or column count is less than one.

public DenseMatrix ( int rows, int columns ) : System
rows	int
columns	int
리턴	System

DenseMatrix() 공개 메소드

Create a new dense matrix with the given number of rows and columns directly binding to a raw array. The array is assumed to be in column-major order (column by column) and is used directly without copying. Very efficient, but changes to the array and the matrix will affect each other.

public DenseMatrix ( int rows, int columns, Complex32 storage ) : System
rows	int
columns	int
storage	Complex32
리턴	System

DoAdd() 보호된 메소드

Add a scalar to each element of the matrix and stores the result in the result vector.

protected DoAdd ( Complex32 scalar, Matrix result ) : void
scalar	Complex32	The scalar to add.
result	Matrix	The matrix to store the result of the addition.
리턴	void

DoAdd() 보호된 메소드

Adds another matrix to this matrix.

If the other matrix is . If the two matrices don't have the same dimensions.

protected DoAdd ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to add to this matrix.
result	Matrix	The matrix to store the result of add
리턴	void

DoConjugate() 보호된 메소드

Complex conjugates each element of this matrix and place the results into the result matrix.

protected DoConjugate ( Matrix result ) : void
result	Matrix	The result of the conjugation.
리턴	void

DoConjugateTransposeAndMultiply() 보호된 메소드

Multiplies this matrix with the conjugate transpose of another matrix and places the results into the result matrix.

protected DoConjugateTransposeAndMultiply ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to multiply with.
result	Matrix	The result of the multiplication.
리턴	void

DoConjugateTransposeThisAndMultiply() 보호된 메소드

Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.

protected DoConjugateTransposeThisAndMultiply ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to multiply with.
result	Matrix	The result of the multiplication.
리턴	void

DoConjugateTransposeThisAndMultiply() 보호된 메소드

Multiplies the conjugate transpose of this matrix with a vector and places the results into the result vector.

protected DoConjugateTransposeThisAndMultiply ( Vector rightSide, Vector result ) : void
rightSide	Vector	The vector to multiply with.
result	Vector	The result of the multiplication.
리턴	void

DoDivide() 보호된 메소드

Divides each element of the matrix by a scalar and places results into the result matrix.

protected DoDivide ( Complex32 divisor, Matrix result ) : void
divisor	Complex32	The scalar to divide the matrix with.
result	Matrix	The matrix to store the result of the division.
리턴	void

DoMultiply() 보호된 메소드

Multiplies each element of the matrix by a scalar and places results into the result matrix.

protected DoMultiply ( Complex32 scalar, Matrix result ) : void
scalar	Complex32	The scalar to multiply the matrix with.
result	Matrix	The matrix to store the result of the multiplication.
리턴	void

DoMultiply() 보호된 메소드

Multiplies this matrix with another matrix and places the results into the result matrix.

protected DoMultiply ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to multiply with.
result	Matrix	The result of the multiplication.
리턴	void

DoMultiply() 보호된 메소드

Multiplies this matrix with a vector and places the results into the result vector.

protected DoMultiply ( Vector rightSide, Vector result ) : void
rightSide	Vector	The vector to multiply with.
result	Vector	The result of the multiplication.
리턴	void

DoNegate() 보호된 메소드

Negate each element of this matrix and place the results into the result matrix.

protected DoNegate ( Matrix result ) : void
result	Matrix	The result of the negation.
리턴	void

DoPointwiseDivide() 보호된 메소드

Pointwise divide this matrix by another matrix and stores the result into the result matrix.

protected DoPointwiseDivide ( Matrix divisor, Matrix result ) : void
divisor	Matrix	The matrix to pointwise divide this one by.
result	Matrix	The matrix to store the result of the pointwise division.
리턴	void

DoPointwiseMultiply() 보호된 메소드

Pointwise multiplies this matrix with another matrix and stores the result into the result matrix.

protected DoPointwiseMultiply ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to pointwise multiply with this one.
result	Matrix	The matrix to store the result of the pointwise multiplication.
리턴	void

DoSubtract() 보호된 메소드

Subtracts a scalar from each element of the matrix and stores the result in the result vector.

protected DoSubtract ( Complex32 scalar, Matrix result ) : void
scalar	Complex32	The scalar to subtract.
result	Matrix	The matrix to store the result of the subtraction.
리턴	void

DoSubtract() 보호된 메소드

Subtracts another matrix from this matrix.

protected DoSubtract ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to subtract.
result	Matrix	The matrix to store the result of the subtraction.
리턴	void

DoTransposeAndMultiply() 보호된 메소드

Multiplies this matrix with transpose of another matrix and places the results into the result matrix.

protected DoTransposeAndMultiply ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to multiply with.
result	Matrix	The result of the multiplication.
리턴	void

DoTransposeThisAndMultiply() 보호된 메소드

Multiplies the transpose of this matrix with another matrix and places the results into the result matrix.

protected DoTransposeThisAndMultiply ( Matrix other, Matrix result ) : void
other	Matrix	The matrix to multiply with.
result	Matrix	The result of the multiplication.
리턴	void

DoTransposeThisAndMultiply() 보호된 메소드

Multiplies the transpose of this matrix with a vector and places the results into the result vector.

protected DoTransposeThisAndMultiply ( Vector rightSide, Vector result ) : void
rightSide	Vector	The vector to multiply with.
result	Vector	The result of the multiplication.
리턴	void

Evd() 공개 메소드

public Evd ( Symmetricity symmetricity = Symmetricity.Unknown ) : Evd
symmetricity	Symmetricity
리턴	Evd

FrobeniusNorm() 공개 메소드

Calculates the entry-wise Frobenius norm of this matrix.

public FrobeniusNorm ( ) : double
리턴	double

GramSchmidt() 공개 메소드

public GramSchmidt ( ) : GramSchmidt
리턴	GramSchmidt

InfinityNorm() 공개 메소드

Calculates the induced infinity norm of this matrix.

public InfinityNorm ( ) : double
리턴	double

IsHermitian() 공개 메소드

Evaluates whether this matrix is hermitian (conjugate symmetric).

public IsHermitian ( ) : bool
리턴	bool

IsSymmetric() 공개 메소드

Evaluates whether this matrix is symmetric.

public IsSymmetric ( ) : bool
리턴	bool

L1Norm() 공개 메소드

Calculates the induced L1 norm of this matrix.

public L1Norm ( ) : double
리턴	double

LU() 공개 메소드

public LU ( ) : LU
리턴	LU

OfArray() 공개 정적인 메소드

Create a new dense matrix as a copy of the given two-dimensional array. This new matrix will be independent from the provided array. A new memory block will be allocated for storing the matrix.

public static OfArray ( Complex32 array ) : DenseMatrix
array	Complex32
리턴	DenseMatrix

OfColumnArrays() 공개 정적인 메소드

Create a new dense matrix as a copy of the given column arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.

public static OfColumnArrays ( ) : DenseMatrix
리턴	DenseMatrix

OfColumnArrays() 공개 정적인 메소드

Create a new dense matrix as a copy of the given column arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.

public static OfColumnArrays ( IEnumerable columns ) : DenseMatrix
columns	IEnumerable
리턴	DenseMatrix

OfColumnMajor() 공개 정적인 메소드

Create a new dense matrix as a copy of the given enumerable. The enumerable is assumed to be in column-major order (column by column). This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the matrix.

public static OfColumnMajor ( int rows, int columns, IEnumerable columnMajor ) : DenseMatrix
rows	int
columns	int
columnMajor	IEnumerable
리턴	DenseMatrix

OfColumnVectors() 공개 정적인 메소드

Create a new dense matrix as a copy of the given column vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.

public static OfColumnVectors ( ) : DenseMatrix
리턴	DenseMatrix

OfColumnVectors() 공개 정적인 메소드

Create a new dense matrix as a copy of the given column vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.

public static OfColumnVectors ( IEnumerable columns ) : DenseMatrix
columns	IEnumerable
리턴	DenseMatrix

OfColumns() 공개 정적인 메소드

Create a new dense matrix as a copy of the given enumerable of enumerable columns. Each enumerable in the master enumerable specifies a column. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix.

public static OfColumns ( IEnumerable data ) : DenseMatrix
data	IEnumerable
리턴	DenseMatrix

OfColumns() 공개 정적인 메소드

public static OfColumns ( int rows, int columns, IEnumerable data ) : DenseMatrix
rows	int
columns	int
data	IEnumerable
리턴	DenseMatrix

OfDiagonalArray() 공개 정적인 메소드

Create a new dense matrix with the diagonal as a copy of the given array. This new matrix will be independent from the array. A new memory block will be allocated for storing the matrix.

public static OfDiagonalArray ( Complex32 diagonal ) : DenseMatrix
diagonal	Complex32
리턴	DenseMatrix

OfDiagonalArray() 공개 정적인 메소드

Create a new dense matrix with the diagonal as a copy of the given array. This new matrix will be independent from the array. A new memory block will be allocated for storing the matrix.

public static OfDiagonalArray ( int rows, int columns, Complex32 diagonal ) : DenseMatrix
rows	int
columns	int
diagonal	Complex32
리턴	DenseMatrix

OfDiagonalVector() 공개 정적인 메소드

Create a new dense matrix with the diagonal as a copy of the given vector. This new matrix will be independent from the vector. A new memory block will be allocated for storing the matrix.

public static OfDiagonalVector ( Vector diagonal ) : DenseMatrix
diagonal	Vector
리턴	DenseMatrix

OfDiagonalVector() 공개 정적인 메소드

Create a new dense matrix with the diagonal as a copy of the given vector. This new matrix will be independent from the vector. A new memory block will be allocated for storing the matrix.

public static OfDiagonalVector ( int rows, int columns, Vector diagonal ) : DenseMatrix
rows	int
columns	int
diagonal	Vector
리턴	DenseMatrix

OfIndexed() 공개 정적인 메소드

Create a new dense matrix as a copy of the given indexed enumerable. Keys must be provided at most once, zero is assumed if a key is omitted. This new matrix will be independent from the enumerable. A new memory block will be allocated for storing the matrix.

public static OfIndexed ( int rows, int columns, IEnumerable enumerable ) : DenseMatrix
rows	int
columns	int
enumerable	IEnumerable
리턴	DenseMatrix

OfMatrix() 공개 정적인 메소드

Create a new dense matrix as a copy of the given other matrix. This new matrix will be independent from the other matrix. A new memory block will be allocated for storing the matrix.

public static OfMatrix ( Matrix matrix ) : DenseMatrix
matrix	Matrix
리턴	DenseMatrix

OfRowArrays() 공개 정적인 메소드

Create a new dense matrix as a copy of the given row arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.

public static OfRowArrays ( ) : DenseMatrix
리턴	DenseMatrix

OfRowArrays() 공개 정적인 메소드

Create a new dense matrix as a copy of the given row arrays. This new matrix will be independent from the arrays. A new memory block will be allocated for storing the matrix.

public static OfRowArrays ( IEnumerable rows ) : DenseMatrix
rows	IEnumerable
리턴	DenseMatrix

OfRowVectors() 공개 정적인 메소드

Create a new dense matrix as a copy of the given row vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.

public static OfRowVectors ( ) : DenseMatrix
리턴	DenseMatrix

OfRowVectors() 공개 정적인 메소드

Create a new dense matrix as a copy of the given row vectors. This new matrix will be independent from the vectors. A new memory block will be allocated for storing the matrix.

public static OfRowVectors ( IEnumerable rows ) : DenseMatrix
rows	IEnumerable
리턴	DenseMatrix

OfRows() 공개 정적인 메소드

Create a new dense matrix as a copy of the given enumerable of enumerable rows. Each enumerable in the master enumerable specifies a row. This new matrix will be independent from the enumerables. A new memory block will be allocated for storing the matrix.

public static OfRows ( IEnumerable data ) : DenseMatrix
data	IEnumerable
리턴	DenseMatrix

OfRows() 공개 정적인 메소드

public static OfRows ( int rows, int columns, IEnumerable data ) : DenseMatrix
rows	int
columns	int
data	IEnumerable
리턴	DenseMatrix

QR() 공개 메소드

public QR ( QRMethod method = QRMethod.Thin ) : QR
method	QRMethod
리턴	QR

Svd() 공개 메소드

public Svd ( bool computeVectors = true ) : Svd
computeVectors	bool
리턴	Svd

Trace() 공개 메소드

Computes the trace of this matrix.

If the matrix is not square

public Trace ( ) : Complex32
리턴	Complex32

operator() 공개 정적인 메소드

Multiplies a Matrix by a constant and returns the result.

If is .

public static operator ( ) : DenseMatrix
리턴	DenseMatrix

operator() 공개 정적인 메소드

Multiplies a Matrix and a Vector.

If or is .

public static operator ( ) : MathNet.Numerics.LinearAlgebra.Complex32.DenseVector
리턴	MathNet.Numerics.LinearAlgebra.Complex32.DenseVector