ManagedLinearAlgebraOperationsOfSingle.TriangularMultiplyInPlace Method

Definition

Namespace: Numerics.NET.LinearAlgebra.Implementation
Assembly: Numerics.NET.SinglePrecision (in Numerics.NET.SinglePrecision.dll) Version: 9.0.3

Overload List

TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Array2D<Complex<T>>, ArraySlice<Complex<T>>) 
TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Array2D<Complex<T>>, ArraySlice<Complex<T>>)

Performs one of the matrix-vector operations x := A*x, or x := AT*x, or x := AH*x, where x is an n element vector and A is an n by n unit, or non-unit, upper or lower triangular matrix.

TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan2D<Complex<T>>, SpanSlice<Complex<T>>)

Performs one of the matrix-vector operations x := A*x, or x := AT*x, or x := AH*x, where x is an n element vector and A is an n by n unit, or non-unit, upper or lower triangular matrix.

TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan<Complex<Single>>, Int32, Span<Complex<Single>>, Int32)

Performs one of the matrix-vector operations x := A*x, or x := AT*x, or x := AH*x, where x is an n element vector and A is an n by n unit, or non-unit, upper or lower triangular matrix.

TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan<Single>, Int32, Span<Single>, Int32)

Performs one of the matrix-vector operations x := A*x, or x := AT*x, or x := AH*x, where x is an n element vector and A is an n by n unit, or non-unit, upper or lower triangular matrix.

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, T, Array2D<T>, Array2D<T>)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ), where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT.

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, Complex<T>, Array2D<Complex<T>>, Array2D<Complex<T>>)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ) where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT or op( A ) = AH.

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, Complex<T>, ReadOnlySpan2D<Complex<T>>, Span2D<Complex<T>>)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ) where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT or op( A ) = AH.

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, Complex<Single>, ReadOnlySpan<Complex<Single>>, Int32, Span<Complex<Single>>, Int32)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ) where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT or op( A ) = AH.

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, Single, ReadOnlySpan<Single>, Int32, Span<Single>, Int32)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ), where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT.

TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan<Complex<Single>>, Int32, Span<Complex<Single>>, Int32)

Performs one of the matrix-vector operations x := A*x, or x := AT*x, or x := AH*x, where x is an n element vector and A is an n by n unit, or non-unit, upper or lower triangular matrix.

C#
public override void TriangularMultiplyInPlace(
	MatrixTriangle storedTriangle,
	TransposeOperation transA,
	MatrixDiagonal diag,
	int n,
	ReadOnlySpan<Complex<float>> a,
	int lda,
	Span<Complex<float>> x,
	int incx
)

Parameters

storedTriangle  MatrixTriangle
Specifies whether the matrix is an upper or lower triangular matrix.
transA  TransposeOperation
 
diag  MatrixDiagonal
             On entry, DIAG specifies whether or not A is unit
             triangular as follows:
                DIAG = 'U' or 'u'   A is assumed to be unit triangular.
                DIAG = 'N' or 'n'   A is not assumed to be unit
                                    triangular.
            
n  Int32
             On entry, N specifies the order of the matrix A.
             N must be at least zero.
            
a  ReadOnlySpan<Complex<Single>>
            A is complex array of DIMENSION ( LDA, n ).
             Before entry with  UPLO = 'U' or 'u', the leading n by n
             upper triangular part of the array A must contain the upper
             triangular matrix and the strictly lower triangular part of
             A is not referenced.
             Before entry with UPLO = 'L' or 'l', the leading n by n
             lower triangular part of the array A must contain the lower
             triangular matrix and the strictly upper triangular part of
             A is not referenced.
             Note that when  DIAG = 'U' or 'u', the diagonal elements of
             A are not referenced either, but are assumed to be unity.
            
lda  Int32
             On entry, LDA specifies the first dimension of A as declared
             in the calling (sub) program. LDA must be at least
             max( 1, n ).
            
x  Span<Complex<Single>>
            X is (input/output) complex array of dimension at least
             ( 1 + ( n - 1 )*abs( INCX ) ).
             Before entry, the incremented array X must contain the n
             element vector x. On exit, X is overwritten with the
             tranformed vector x.
            
incx  Int32
             On entry, INCX specifies the increment for the elements of
             X. INCX must not be zero.
            

Implements

ILinearAlgebraOperations<T>.TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan<T>, Int32, Span<T>, Int32)

Remarks

Further Details:

            Level 2 LinearAlgebra routine.
            The vector and matrix arguments are not referenced when N = 0, or M = 0
            -- Written on 22-October-1986.
               Jack Dongarra, Argonne National Lab.
               Jeremy Du Croz, Nag Central Office.
               Sven Hammarling, Nag Central Office.
               Richard Hanson, Sandia National Labs.
            

Authors: Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver, NAG Ltd.

Date: November 2011

TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan<Single>, Int32, Span<Single>, Int32)

Performs one of the matrix-vector operations x := A*x, or x := AT*x, or x := AH*x, where x is an n element vector and A is an n by n unit, or non-unit, upper or lower triangular matrix.

C#
public override void TriangularMultiplyInPlace(
	MatrixTriangle storedTriangle,
	TransposeOperation transA,
	MatrixDiagonal diag,
	int n,
	ReadOnlySpan<float> a,
	int lda,
	Span<float> x,
	int incx
)

Parameters

storedTriangle  MatrixTriangle
Specifies whether the matrix is an upper or lower triangular matrix.
transA  TransposeOperation
 
diag  MatrixDiagonal
             On entry, DIAG specifies whether or not A is unit
             triangular as follows:
                DIAG = 'U' or 'u'   A is assumed to be unit triangular.
                DIAG = 'N' or 'n'   A is not assumed to be unit
                                    triangular.
            
n  Int32
             On entry, N specifies the order of the matrix A.
             N must be at least zero.
            
a  ReadOnlySpan<Single>
            A is complex array of DIMENSION ( LDA, n ).
             Before entry with  UPLO = 'U' or 'u', the leading n by n
             upper triangular part of the array A must contain the upper
             triangular matrix and the strictly lower triangular part of
             A is not referenced.
             Before entry with UPLO = 'L' or 'l', the leading n by n
             lower triangular part of the array A must contain the lower
             triangular matrix and the strictly upper triangular part of
             A is not referenced.
             Note that when  DIAG = 'U' or 'u', the diagonal elements of
             A are not referenced either, but are assumed to be unity.
            
lda  Int32
             On entry, LDA specifies the first dimension of A as declared
             in the calling (sub) program. LDA must be at least
             max( 1, n ).
            
x  Span<Single>
            X is (input/output) complex array of dimension at least
             ( 1 + ( n - 1 )*abs( INCX ) ).
             Before entry, the incremented array X must contain the n
             element vector x. On exit, X is overwritten with the
             tranformed vector x.
            
incx  Int32
             On entry, INCX specifies the increment for the elements of
             X. INCX must not be zero.
            

Implements

ILinearAlgebraOperations<T>.TriangularMultiplyInPlace(MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, ReadOnlySpan<T>, Int32, Span<T>, Int32)

Remarks

Further Details:

            Level 2 LinearAlgebra routine.
            The vector and matrix arguments are not referenced when N = 0, or M = 0
            -- Written on 22-October-1986.
               Jack Dongarra, Argonne National Lab.
               Jeremy Du Croz, Nag Central Office.
               Sven Hammarling, Nag Central Office.
               Richard Hanson, Sandia National Labs.
            

Authors: Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver, NAG Ltd.

Date: November 2011

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, Complex<Single>, ReadOnlySpan<Complex<Single>>, Int32, Span<Complex<Single>>, Int32)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ) where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT or op( A ) = AH.

C#
public override void TriangularMultiplyInPlace(
	MatrixOperationSide side,
	MatrixTriangle triangle,
	TransposeOperation transA,
	MatrixDiagonal diag,
	int m,
	int n,
	Complex<float> alpha,
	ReadOnlySpan<Complex<float>> a,
	int lda,
	Span<Complex<float>> b,
	int ldb
)

Parameters

side  MatrixOperationSide
             On entry,  SIDE specifies whether  op( A ) multiplies B from
             the left or right as follows:
                SIDE = 'L' or 'l'   B := alpha*op( A )*B.
                SIDE = 'R' or 'r'   B := alpha*B*op( A ).
            
triangle  MatrixTriangle
 
transA  TransposeOperation
Specifies the operation to be performed on the matrix a.
diag  MatrixDiagonal
             On entry, DIAG specifies whether or not A is unit triangular
             as follows:
                DIAG = 'U' or 'u'   A is assumed to be unit triangular.
                DIAG = 'N' or 'n'   A is not assumed to be unit
                                    triangular.
            
m  Int32
             On entry, M specifies the number of rows of B. M must be at
             least zero.
            
n  Int32
             On entry, N specifies the number of columns of B.  N must be
             at least zero.
            
alpha  Complex<Single>
             On entry,  ALPHA specifies the scalar  alpha. When  alpha is
             zero then  A is not referenced and  B need not be set before
             entry.
            
a  ReadOnlySpan<Complex<Single>>
            A is complex array of DIMENSION ( LDA, k ), where k is m
             when  SIDE = 'L' or 'l'  and is  n  when  SIDE = 'R' or 'r'.
             Before entry  with  UPLO = 'U' or 'u',  the  leading  k by k
             upper triangular part of the array  A must contain the upper
             triangular matrix  and the strictly lower triangular part of
             A is not referenced.
             Before entry  with  UPLO = 'L' or 'l',  the  leading  k by k
             lower triangular part of the array  A must contain the lower
             triangular matrix  and the strictly upper triangular part of
             A is not referenced.
             Note that when  DIAG = 'U' or 'u',  the diagonal elements of
             A  are not referenced either,  but are assumed to be  unity.
            
lda  Int32
             On entry, LDA specifies the first dimension of A as declared
             in the calling (sub) program.  When  SIDE = 'L' or 'l'  then
             LDA  must be at least  max( 1, m ),  when  SIDE = 'R' or 'r'
             then LDA must be at least max( 1, n ).
            
b  Span<Complex<Single>>
            B is (input/output) complex array of DIMENSION ( LDB, n ).
             Before entry,  the leading  m by n part of the array  B must
             contain the matrix  B,  and  on exit  is overwritten  by the
             transformed matrix.
            
ldb  Int32
             On entry, LDB specifies the first dimension of B as declared
             in  the  calling  (sub)  program.   LDB  must  be  at  least
             max( 1, m ).
            

Implements

ILinearAlgebraOperations<T>.TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, T, ReadOnlySpan<T>, Int32, Span<T>, Int32)

Remarks

Further Details:

            Level 3 LinearAlgebra routine.
            -- Written on 8-February-1989.
               Jack Dongarra, Argonne National Laboratory.
               Iain Duff, AERE Harwell.
               Jeremy Du Croz, Numerical Algorithms Group Ltd.
               Sven Hammarling, Numerical Algorithms Group Ltd.
            

Authors: Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver, NAG Ltd.

Date: November 2011

TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, Single, ReadOnlySpan<Single>, Int32, Span<Single>, Int32)

Performs one of the matrix-matrix operations B := alpha*op( A )*B, or B := alpha*B*op( A ), where alpha is a scalar, B is an m by n matrix, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = AT.

C#
public override void TriangularMultiplyInPlace(
	MatrixOperationSide side,
	MatrixTriangle storedTriangle,
	TransposeOperation transA,
	MatrixDiagonal diag,
	int m,
	int n,
	float alpha,
	ReadOnlySpan<float> a,
	int lda,
	Span<float> b,
	int ldb
)

Parameters

side  MatrixOperationSide
             On entry,  SIDE specifies whether  op( A ) multiplies B from
             the left or right as follows:
                SIDE = 'L' or 'l'   B := alpha*op( A )*B.
                SIDE = 'R' or 'r'   B := alpha*B*op( A ).
            
storedTriangle  MatrixTriangle
Specifies whether the elements of the matrix a are stored in the upper or lower triangular part.
transA  TransposeOperation
Specifies the operation to be performed on the matrix a.
diag  MatrixDiagonal
             On entry, DIAG specifies whether or not A is unit triangular
             as follows:
                DIAG = 'U' or 'u'   A is assumed to be unit triangular.
                DIAG = 'N' or 'n'   A is not assumed to be unit
                                    triangular.
            
m  Int32
             On entry, M specifies the number of rows of B. M must be at
             least zero.
            
n  Int32
             On entry, N specifies the number of columns of B.  N must be
             at least zero.
            
alpha  Single
            ALPHA is DOUBLE PRECISION.
             On entry,  ALPHA specifies the scalar  alpha. When  alpha is
             zero then  A is not referenced and  B need not be set before
             entry.
            
a  ReadOnlySpan<Single>
            A is DOUBLE PRECISION array of DIMENSION ( LDA, k ), where k is m
            when  SIDE = 'L' or 'l'  and is  n  when  SIDE = 'R' or 'r'.
            Before entry  with  UPLO = 'U' or 'u',  the  leading  k by k
            upper triangular part of the array  A must contain the upper
            triangular matrix  and the strictly lower triangular part of
            A is not referenced.
            Before entry  with  UPLO = 'L' or 'l',  the  leading  k by k
            lower triangular part of the array  A must contain the lower
            triangular matrix  and the strictly upper triangular part of
            A is not referenced.
            Note that when  DIAG = 'U' or 'u',  the diagonal elements of
            A  are not referenced either,  but are assumed to be  unity.
            
lda  Int32
             On entry, LDA specifies the first dimension of A as declared
             in the calling (sub) program.  When  SIDE = 'L' or 'l'  then
             LDA  must be at least  max( 1, m ),  when  SIDE = 'R' or 'r'
             then LDA must be at least max( 1, n ).
            
b  Span<Single>
            B is DOUBLE PRECISION array of DIMENSION ( LDB, n ).
             Before entry,  the leading  m by n part of the array  B must
             contain the matrix  B,  and  on exit  is overwritten  by the
             transformed matrix.
            
ldb  Int32
             On entry, LDB specifies the first dimension of B as declared
             in  the  calling  (sub)  program.   LDB  must  be  at  least
             max( 1, m ).
            

Implements

ILinearAlgebraOperations<T>.TriangularMultiplyInPlace(MatrixOperationSide, MatrixTriangle, TransposeOperation, MatrixDiagonal, Int32, Int32, T, ReadOnlySpan<T>, Int32, Span<T>, Int32)

Remarks

Further Details:

            Level 3 LinearAlgebra routine.
            -- Written on 8-February-1989.
               Jack Dongarra, Argonne National Laboratory.
               Iain Duff, AERE Harwell.
               Jeremy Du Croz, Numerical Algorithms Group Ltd.
               Sven Hammarling, Numerical Algorithms Group Ltd.
            

Authors: Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver, NAG Ltd.

Date: November 2011

See Also