ISparseLinearAlgebraOperations<T>.TriangularSolve Method

Solves for a dense vector for a sparse matrix in compressed sparse column format.

Definition

Namespace: Extreme.Mathematics.LinearAlgebra.Implementation
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
C#
void TriangularSolve(
	TransposeOperation transA,
	int m,
	T alpha,
	MatrixStructure structure,
	MatrixTriangle storedTriangle,
	MatrixDiagonal matrixDiagonal,
	T[] a,
	int[] aRows,
	int[] aPointerB,
	int[] aPointerE,
	ArraySlice<T> x,
	ArraySlice<T> y
)

Parameters

transA  TransposeOperation
Specifies the operation to be performed on the matrix a.
m  Int32
The number of rows in the matrix a.
alpha  T
The scalar used to multiply the matrix-vector product.
structure  MatrixStructure
A MatrixStructure value that specifies the structure of the matrix.
storedTriangle  MatrixTriangle
A MatrixTriangle value that specifies whether the matrix is upper or lower triangular.
matrixDiagonal  MatrixDiagonal
A MatrixDiagonal value that indicates whether the diagonal elements are all 1 or not.
a  T[]
Reference to the first element in a one-dimensional array that contains the elements of the matrix.
aRows  Int32[]
Integer array that contains the 1-based row indices of the corresponding elements of a.
aPointerB  Int32[]
Integer array of length m containing the 1-based indices into a of the first component of each column.
aPointerE  Int32[]
Integer array of length m containing the 1-based indices into a of the first component of each column.
x  ArraySlice<T>
A reference to a one-dimensional array containing the elements of the vector x.
y  ArraySlice<T>
A reference to a one-dimensional array containing the elements of the vector y. The elements of y are overwritten with the result.

See Also