ManagedLinearAlgebraOperationsOfSingle.RankUpdate Method

Definition

Namespace: Extreme.Mathematics.LinearAlgebra.Implementation
Assembly: Extreme.Numerics.SinglePrecision (in Extreme.Numerics.SinglePrecision.dll) Version: 8.1.4

Overload List

RankUpdate(Int32, Int32, Complex<Single>, ArraySlice<Complex<Single>>, ArraySlice<Complex<Single>>, Array2D<Complex<Single>>)

Performs a rank one update of a matrix.
C#
public override void RankUpdate(
	int m,
	int n,
	Complex<float> alpha,
	ArraySlice<Complex<float>> x,
	ArraySlice<Complex<float>> y,
	Array2D<Complex<float>> a
)

Parameters

m  Int32
The number of rows in the matrix a.
n  Int32
The number of columns in the matrix a.
alpha  Complex<Single>
The scalar used to multiply the outer product.
x  ArraySlice<Complex<Single>>
A reference to a one-dimensional array containing the elements of the vector x.
y  ArraySlice<Complex<Single>>
A reference to a one-dimensional array containing the elements of the vector y.
a  Array2D<Complex<Single>>
Reference to the first element in a one-dimensional array that contains the elements of the matrix.

Implements

ILinearAlgebraOperations<T>.RankUpdate(Int32, Int32, T, ArraySlice<T>, ArraySlice<T>, Array2D<T>)

RankUpdate(Int32, Int32, Single, ArraySlice<Single>, ArraySlice<Single>, Array2D<Single>)

Performs a rank one update of a matrix.
C#
public override void RankUpdate(
	int m,
	int n,
	float alpha,
	ArraySlice<float> x,
	ArraySlice<float> y,
	Array2D<float> a
)

Parameters

m  Int32
The number of rows in the matrix a.
n  Int32
The number of columns in the matrix a.
alpha  Single
The scalar used to multiply the outer product.
x  ArraySlice<Single>
A reference to a one-dimensional array containing the elements of the vector x.
y  ArraySlice<Single>
A reference to a one-dimensional array containing the elements of the vector y.
a  Array2D<Single>
Reference to the first element in a one-dimensional array that contains the elements of the matrix.

Implements

ILinearAlgebraOperations<T>.RankUpdate(Int32, Int32, T, ArraySlice<T>, ArraySlice<T>, Array2D<T>)

See Also