Linear Algebra Operations.Triangular Matrix Norm Method
Definition
Namespace: Extreme.Mathematics.LinearAlgebra
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
Overload List
Triangular | Returns the value of the one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a trapezoidal or triangular matrix A. |
Triangular | Computes the norm of a triangular matrix. |
TriangularMatrixNorm<T>(MatrixNorm, MatrixTriangle, MatrixDiagonal, Int32, Int32, Array2D<T>)
Returns the value of the one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a trapezoidal or triangular matrix A.
public static T TriangularMatrixNorm<T>(
MatrixNorm norm,
MatrixTriangle storedTriangle,
MatrixDiagonal diag,
int m,
int n,
Array2D<T> a
)
Parameters
- norm MatrixNorm
Specifies the value to be returned in DLANTR as described above.
- storedTriangle MatrixTriangle
Specifies whether the matrix A is upper or lower trapezoidal. = 'U': Upper trapezoidal = 'L': Lower trapezoidal Note that A is triangular instead of trapezoidal if M = N.
- diag MatrixDiagonal
Specifies whether or not the matrix A has unit diagonal. = 'N': Non-unit diagonal = 'U': Unit diagonal
- m Int32
The number of rows of the matrix A. M >= 0, and if UPLO = 'U', M <= N. When M = 0, DLANTR is set to zero.
- n Int32
The number of columns of the matrix A. N >= 0, and if UPLO = 'L', N <= M. When N = 0, DLANTR is set to zero.
- a Array2D<T>
Dimension (LDA,N) The trapezoidal matrix A (A is triangular if M = N). If UPLO = 'U', the leading m by n upper trapezoidal part of the array A contains the upper trapezoidal matrix, and the strictly lower triangular part of A is not referenced. If UPLO = 'L', the leading m by n lower trapezoidal part of the array A contains the lower trapezoidal matrix, and the strictly upper triangular part of A is not referenced. Note that when DIAG = 'U', the diagonal elements of A are not referenced and are assumed to be one.
The leading dimension of the array A. LDA >= max(M,1).
Type Parameters
- T
Return Value
TRemarks
DLANTR = ( max(abs(A(i,j))), NORM = 'M' or 'm' ( ( norm1(A), NORM = '1', 'O' or 'o' ( ( normI(A), NORM = 'I' or 'i' ( ( normF(A), NORM = 'F', 'f', 'E' or 'e' ere norm1 denotes the one norm of a matrix (maximum column sum), ormI denotes the infinity norm of a matrix (maximum row sum) and normF denotes the Frobenius norm of a matrix (square root of sum of squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
This method corresponds to the LAPACK routine DLANTR.
TriangularMatrixNorm<T>(MatrixNorm, MatrixTriangle, MatrixDiagonal, Int32, Int32, Array2D<Complex<T>>)
Computes the norm of a triangular matrix.
public static T TriangularMatrixNorm<T>(
MatrixNorm norm,
MatrixTriangle storedTriangle,
MatrixDiagonal diag,
int m,
int n,
Array2D<Complex<T>> a
)
Parameters
- norm MatrixNorm
- A MatrixNorm that specifies the type of norm to compute.
- storedTriangle MatrixTriangle
- A MatrixTriangle value that specifies whether the matrix is upper or lower triangular.
- diag MatrixDiagonal
- A MatrixDiagonal value that indicates whether the diagonal elements are all equal to one.
- m Int32
- The number of rows of the matrix.
- n Int32
- The number of columns of the matrix.
- a Array2D<Complex<T>>
- A complex number array that contains the elements of the matrix.
Type Parameters
- T
Return Value
TThe norm of the matrix.
Remarks
This method corresponds to the LAPACK routine ?LANTR.