public abstract T SymmetricMatrixNorm(
	MatrixNorm norm,
	MatrixTriangle storedTriangle,
	int n,
	Array2D<T> a
)

Public MustOverride Function SymmetricMatrixNorm ( 
	norm As MatrixNorm,
	storedTriangle As MatrixTriangle,
	n As Integer,
	a As Array2D(Of T)
) As T

public:
virtual T SymmetricMatrixNorm(
	MatrixNorm norm, 
	MatrixTriangle storedTriangle, 
	int n, 
	Array2D<T> a
) abstract

abstract SymmetricMatrixNorm : 
        norm : MatrixNorm * 
        storedTriangle : MatrixTriangle * 
        n : int * 
        a : Array2D<'T> -> 'T 

Parameters

norm

Type: Extreme.MathematicsMatrixNorm

            Specifies the value to be returned in DLANSY as described
            above.
            

storedTriangle

Type: Extreme.MathematicsMatrixTriangle

            Specifies whether the upper or lower triangular part of the
            symmetric matrix A is to be referenced.
            = 'U':  Upper triangular part of A is referenced
            = 'L':  Lower triangular part of A is referenced
            

n

Type: SystemInt32

            The order of the matrix A.  N >= 0.  When N = 0, DLANSY is
            set to zero.
            

a

Type: Extreme.CollectionsArray2DT

            Dimension (LDA,N)
            The symmetric matrix A.  If UPLO = 'U', the leading n by n
            upper triangular part of A contains the upper triangular part
            of the matrix A, and the strictly lower triangular part of A
            is not referenced.  If UPLO = 'L', the leading n by n lower
            triangular part of A contains the lower triangular part of
            the matrix A, and the strictly upper triangular part of A is
            not referenced.
            

            The leading dimension of the array A.  LDA >= max(N,1).
            

Return Value

Implements

            DLANSY = ( 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 DLANSY.

Numerical Libraries

Reference