Linear Algebra Operations<T>.Symmetric Matrix Norm Method
Definition
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2
Overload List
Symmetric | Returns the value of the one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric matrix A. |
Symmetric | Computes the norm of a symmetric matrix. |
Symmetric | Computes the norm of a symmetric matrix. |
Symmetric | Returns the value of the one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric matrix A. |
Symmetric | Computes the norm of a symmetric matrix. |
SymmetricMatrixNorm(MatrixNorm, MatrixTriangle, 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 real symmetric matrix A.
public T SymmetricMatrixNorm(
MatrixNorm norm,
MatrixTriangle storedTriangle,
int n,
Array2D<T> a
)
Parameters
- norm MatrixNorm
Specifies the value to be returned in DLANSY as described above.
- storedTriangle MatrixTriangle
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 Int32
The order of the matrix A. N >= 0. When N = 0, DLANSY is set to zero.
- a Array2D<T>
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
TRemarks
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.
SymmetricMatrixNorm(MatrixNorm, MatrixTriangle, Int32, Array2D<Complex<T>>)
public T SymmetricMatrixNorm(
MatrixNorm norm,
MatrixTriangle storedTriangle,
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 elements are stored in the upper or lower triangle.
- n Int32
- The number of rows and columns of the matrix.
- a Array2D<Complex<T>>
- A complex array that contains the elements of the matrix.
Return Value
TThe norm of the matrix.
Remarks
SymmetricMatrixNorm(MatrixNorm, MatrixTriangle, Int32, ReadOnlySpan2D<Complex<T>>)
public T SymmetricMatrixNorm(
MatrixNorm norm,
MatrixTriangle storedTriangle,
int n,
ReadOnlySpan2D<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 elements are stored in the upper or lower triangle.
- n Int32
- The number of rows and columns of the matrix.
- a ReadOnlySpan2D<Complex<T>>
- A complex array that contains the elements of the matrix.
Return Value
TThe norm of the matrix.
Remarks
SymmetricMatrixNorm(MatrixNorm, MatrixTriangle, Int32, ReadOnlySpan<T>, Int32)
Returns the value of the one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric matrix A.
public abstract T SymmetricMatrixNorm(
MatrixNorm norm,
MatrixTriangle storedTriangle,
int n,
ReadOnlySpan<T> a,
int lda
)
Parameters
- norm MatrixNorm
Specifies the value to be returned in DLANSY as described above.
- storedTriangle MatrixTriangle
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 Int32
The order of the matrix A. N >= 0. When N = 0, DLANSY is set to zero.
- a ReadOnlySpan<T>
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.
- lda Int32
The leading dimension of the array A. LDA >= max(N,1).
Return Value
TImplements
ILinearAlgebraOperations<T>.SymmetricMatrixNorm(MatrixNorm, MatrixTriangle, Int32, ReadOnlySpan<T>, Int32)Remarks
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.
SymmetricMatrixNorm(MatrixNorm, MatrixTriangle, Int32, ReadOnlySpan<Complex<T>>, Int32)
public abstract T SymmetricMatrixNorm(
MatrixNorm norm,
MatrixTriangle storedTriangle,
int n,
ReadOnlySpan<Complex<T>> a,
int lda
)
Parameters
- norm MatrixNorm
- A MatrixNorm that specifies the type of norm to compute.
- storedTriangle MatrixTriangle
- A MatrixTriangle value that specifies whether the matrix elements are stored in the upper or lower triangle.
- n Int32
- The number of rows and columns of the matrix.
- a ReadOnlySpan<Complex<T>>
- A complex array that contains the elements of the matrix.
- lda Int32
- The leading dimension of the matrix a.
Return Value
TThe norm of the matrix.