C# Class MathNet.Numerics.LinearAlgebra.Single.DenseMatrix

Inheritance: System.Matrix

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Méthodes publiques

Méthode	Description
Cholesky ( ) : Cholesky
Create ( int rows, int columns, Func init ) : DenseMatrix	Create a new dense matrix and initialize each value using the provided init function.
Create ( int rows, int columns, float value ) : DenseMatrix	Create a new dense matrix and initialize each value to the same provided value.
CreateDiagonal ( int rows, int columns, float>.Func init ) : DenseMatrix	Create a new diagonal dense matrix and initialize each diagonal value using the provided init function.
CreateDiagonal ( int rows, int columns, float value ) : DenseMatrix	Create a new diagonal dense matrix and initialize each diagonal value to the same provided value.
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, float 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.
IsSymmetric ( ) : bool	Evaluates whether this matrix is symmetric.
L1Norm ( ) : double	Calculates the induced L1 norm of this matrix.
LU ( ) : LU
OfArray ( float 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 ( float 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, float 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 ( ) : float	Computes the trace of this matrix.
operator ( ) : DenseMatrix	Multiplies a Matrix by a constant and returns the result.
operator ( ) : MathNet.Numerics.LinearAlgebra.Single.DenseVector	Multiplies a Matrix and a Vector.

Méthodes protégées

Méthode	Description
DoAdd ( Matrix other, Matrix result ) : void	Adds another matrix to this matrix.
DoAdd ( float scalar, Matrix result ) : void	Add a scalar to each element of the matrix and stores the result in the result vector.
DoDivide ( float divisor, Matrix result ) : void	Divides each element of the matrix by a scalar and places results into the result matrix.
DoModulus ( float divisor, Matrix result ) : void	Computes the canonical modulus, where the result has the sign of the divisor, for the given divisor each element of the matrix.
DoModulusByThis ( float dividend, Matrix result ) : void	Computes the canonical modulus, where the result has the sign of the divisor, for the given dividend for each element of the 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.
DoMultiply ( float scalar, Matrix result ) : void	Multiplies each element of the matrix by a scalar and places results into the result matrix.
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.
DoRemainder ( float divisor, Matrix result ) : void	Computes the remainder (% operator), where the result has the sign of the dividend, for the given divisor each element of the matrix.
DoRemainderByThis ( float dividend, Matrix result ) : void	Computes the remainder (% operator), where the result has the sign of the dividend, for the given dividend for each element of the matrix.
DoSubtract ( Matrix other, Matrix result ) : void	Subtracts another matrix from this matrix.
DoSubtract ( float scalar, Matrix result ) : void	Subtracts a scalar from each element of the matrix and stores the result in the result vector.
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.

Method Details

Cholesky() public méthode

public Cholesky ( ) : Cholesky
Résultat	Cholesky

Create() public static méthode

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
Résultat	DenseMatrix

Create() public static méthode

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

public static Create ( int rows, int columns, float value ) : DenseMatrix
rows	int
columns	int
value	float
Résultat	DenseMatrix

CreateDiagonal() public static méthode

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

public static CreateDiagonal ( int rows, int columns, float>.Func init ) : DenseMatrix
rows	int
columns	int
init	float>.Func
Résultat	DenseMatrix

CreateDiagonal() public static méthode

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

public static CreateDiagonal ( int rows, int columns, float value ) : DenseMatrix
rows	int
columns	int
value	float
Résultat	DenseMatrix

CreateIdentity() public static méthode

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

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

CreateRandom() public static méthode

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
Résultat	DenseMatrix

DenseMatrix() public méthode

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
Résultat	System

DenseMatrix() public méthode

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
Résultat	System

DenseMatrix() public méthode

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
Résultat	System

DenseMatrix() public méthode

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, float storage ) : System
rows	int
columns	int
storage	float
Résultat	System

DoAdd() protected méthode

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
Résultat	void

DoAdd() protected méthode

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

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

DoDivide() protected méthode

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

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

DoModulus() protected méthode

Computes the canonical modulus, where the result has the sign of the divisor, for the given divisor each element of the matrix.

protected DoModulus ( float divisor, Matrix result ) : void
divisor	float	The scalar denominator to use.
result	Matrix	Matrix to store the results in.
Résultat	void

DoModulusByThis() protected méthode

Computes the canonical modulus, where the result has the sign of the divisor, for the given dividend for each element of the matrix.

protected DoModulusByThis ( float dividend, Matrix result ) : void
dividend	float	The scalar numerator to use.
result	Matrix	A vector to store the results in.
Résultat	void

DoMultiply() protected méthode

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.
Résultat	void

DoMultiply() protected méthode

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.
Résultat	void

DoMultiply() protected méthode

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

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

DoNegate() protected méthode

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.
Résultat	void

DoPointwiseDivide() protected méthode

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.
Résultat	void

DoPointwiseMultiply() protected méthode

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.
Résultat	void

DoRemainder() protected méthode

Computes the remainder (% operator), where the result has the sign of the dividend, for the given divisor each element of the matrix.

protected DoRemainder ( float divisor, Matrix result ) : void
divisor	float	The scalar denominator to use.
result	Matrix	Matrix to store the results in.
Résultat	void

DoRemainderByThis() protected méthode

Computes the remainder (% operator), where the result has the sign of the dividend, for the given dividend for each element of the matrix.

protected DoRemainderByThis ( float dividend, Matrix result ) : void
dividend	float	The scalar numerator to use.
result	Matrix	A vector to store the results in.
Résultat	void

DoSubtract() protected méthode

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.
Résultat	void

DoSubtract() protected méthode

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

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

DoTransposeAndMultiply() protected méthode

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.
Résultat	void

DoTransposeThisAndMultiply() protected méthode

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.
Résultat	void

DoTransposeThisAndMultiply() protected méthode

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.
Résultat	void

Evd() public méthode

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

FrobeniusNorm() public méthode

Calculates the entry-wise Frobenius norm of this matrix.

public FrobeniusNorm ( ) : double
Résultat	double

GramSchmidt() public méthode

public GramSchmidt ( ) : GramSchmidt
Résultat	GramSchmidt

InfinityNorm() public méthode

Calculates the induced infinity norm of this matrix.

public InfinityNorm ( ) : double
Résultat	double

IsSymmetric() public méthode

Evaluates whether this matrix is symmetric.

public IsSymmetric ( ) : bool
Résultat	bool

L1Norm() public méthode

Calculates the induced L1 norm of this matrix.

public L1Norm ( ) : double
Résultat	double

LU() public méthode

public LU ( ) : LU
Résultat	LU

OfArray() public static méthode

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 ( float array ) : DenseMatrix
array	float
Résultat	DenseMatrix

OfColumnArrays() public static méthode

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
Résultat	DenseMatrix

OfColumnArrays() public static méthode

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
Résultat	DenseMatrix

OfColumnMajor() public static méthode

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
Résultat	DenseMatrix

OfColumnVectors() public static méthode

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
Résultat	DenseMatrix

OfColumnVectors() public static méthode

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
Résultat	DenseMatrix

OfColumns() public static méthode

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
Résultat	DenseMatrix

OfColumns() public static méthode

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

OfDiagonalArray() public static méthode

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 ( float diagonal ) : DenseMatrix
diagonal	float
Résultat	DenseMatrix

OfDiagonalArray() public static méthode

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, float diagonal ) : DenseMatrix
rows	int
columns	int
diagonal	float
Résultat	DenseMatrix

OfDiagonalVector() public static méthode

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
Résultat	DenseMatrix

OfDiagonalVector() public static méthode

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
Résultat	DenseMatrix

OfIndexed() public static méthode

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
Résultat	DenseMatrix

OfMatrix() public static méthode

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
Résultat	DenseMatrix

OfRowArrays() public static méthode

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
Résultat	DenseMatrix

OfRowArrays() public static méthode

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
Résultat	DenseMatrix

OfRowVectors() public static méthode

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
Résultat	DenseMatrix

OfRowVectors() public static méthode

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
Résultat	DenseMatrix

OfRows() public static méthode

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
Résultat	DenseMatrix

OfRows() public static méthode

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

QR() public méthode

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

Svd() public méthode

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

Trace() public méthode

Computes the trace of this matrix.

If the matrix is not square

public Trace ( ) : float
Résultat	float

operator() public static méthode

Multiplies a Matrix by a constant and returns the result.

If is .

public static operator ( ) : DenseMatrix
Résultat	DenseMatrix

operator() public static méthode

Multiplies a Matrix and a Vector.

If or is .

public static operator ( ) : MathNet.Numerics.LinearAlgebra.Single.DenseVector
Résultat	MathNet.Numerics.LinearAlgebra.Single.DenseVector