DenseMatrix<T>.MultiplyAsLeftCore Method

Definition

Namespace: Extreme.Mathematics.LinearAlgebra
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23

Overload List

MultiplyAsLeftCore(TransposeOperation, Vector<T>, Vector<T>) Multiplies a vector by the linear operator and returns the result.
MultiplyAsLeftCore(TransposeOperation, Matrix<T>, Matrix<T>) Multiplies a matrix by the linear operator and returns the result.
MultiplyAsLeftCore(T, TransposeOperation, Matrix<T>, TransposeOperation, Matrix<T>) Computes the scaled product of two matrices.

MultiplyAsLeftCore(TransposeOperation, Vector<T>, Vector<T>)

Multiplies a vector by the linear operator and returns the result.
C# 
protected override Vector<T> MultiplyAsLeftCore(
	TransposeOperation transpose,
	Vector<T> right,
	Vector<T> result
)

Parameters

transpose  TransposeOperation
The operation to be performed on the operator before multiplying.
right  Vector<T>
The right operand of the multiplication.
result  Vector<T>
The vector that is to hold the result. May be null.

Return Value

Vector<T>
A vector that is the product of this matrix and right.

MultiplyAsLeftCore(T, TransposeOperation, Matrix<T>, TransposeOperation, Matrix<T>)

Computes the scaled product of two matrices.
C# 
protected override Matrix<T> MultiplyAsLeftCore(
	T productFactor,
	TransposeOperation leftOperation,
	Matrix<T> rightFactor,
	TransposeOperation rightOperation,
	Matrix<T> result
)

Parameters

productFactor  T
The scale factor for the matrix-matrix product.
leftOperation  TransposeOperation
The operation to be performed on this matrix before multiplying.
rightFactor  Matrix<T>
The right operand of the multiplication.
rightOperation  TransposeOperation
The operation to be performed on rightFactor before multiplying.
result  Matrix<T>
The matrix that is to hold the result. May be null.

Return Value

Matrix<T>
productFactor times the product of this matrix transformed as specified by leftOperation with rightFactor transformed as specified by rightOperation.

See Also