void	f16sfc (Nag_OrderType order, Nag_UploType uplo, Nag_TransType trans, Nag_DiagType diag, Integer n, Complex alpha, const Complex a[], Integer pda, Complex x[], Integer incx, NagError *fail)

The function may be called by the names: f16sfc, nag_blast_ztrmv or nag_ztrmv.

3 Description

f16sfc performs one of the matrix-vector operations

x \leftarrow α A x, x \leftarrow α A^{T} x or x \leftarrow α A^{H} x,

where

A

is an

n \times n

complex triangular matrix, and

x

is an

n

-element complex vector and

α

is a complex scalar.

4 References

Basic Linear Algebra Subprograms Technical (BLAST) Forum (2001) Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard University of Tennessee, Knoxville, Tennessee https://www.netlib.org/blas/blast-forum/blas-report.pdf

5 Arguments

1: $order$ – Nag_OrderType Input

On entry: the order argument specifies the two-dimensional storage scheme being used, i.e., row-major ordering or column-major ordering. C language defined storage is specified by

order = Nag_RowMajor

. See Section 3.1.3 in the Introduction to the NAG Library CL Interface for a more detailed explanation of the use of this argument.

Constraint:

order = Nag_RowMajor

Nag_ColMajor

2: $uplo$ – Nag_UploType Input

On entry: specifies whether

A

is upper or lower triangular.

$uplo = Nag_Upper$: $A$ is upper triangular.
$uplo = Nag_Lower$: $A$ is lower triangular.

Constraint:

uplo = Nag_Upper

Nag_Lower

3: $trans$ – Nag_TransType Input

On entry: specifies the operation to be performed.

$trans = Nag_NoTrans$: $x \leftarrow α A x$ .
$trans = Nag_Trans$: $x \leftarrow α A^{T} x$ .
$trans = Nag_ConjTrans$: $x \leftarrow α A^{H} x$ .

Constraint:

trans = Nag_NoTrans

Nag_Trans

Nag_ConjTrans

4: $diag$ – Nag_DiagType Input

On entry: specifies whether

A

has nonunit or unit diagonal elements.

$diag = Nag_NonUnitDiag$: The diagonal elements are stored explicitly.
$diag = Nag_UnitDiag$: The diagonal elements are assumed to be $1$ and are not referenced.

Constraint:

diag = Nag_NonUnitDiag

Nag_UnitDiag

5: $n$ – Integer Input

On entry:

n

, the order of the matrix

A

Constraint:

n \geq 0

6: $alpha$ – Complex Input

On entry: the scalar

α

7: $a [\dim]$ – const Complex Input

Note: the dimension, dim, of the array a must be at least

\max (1, pda \times n)

On entry: the

n \times n

triangular matrix

A

order = Nag_ColMajor

A_{i j}

is stored in

a [(j - 1) \times pda + i - 1]

order = Nag_RowMajor

A_{i j}

is stored in

a [(i - 1) \times pda + j - 1]

uplo = Nag_Upper

, the upper triangular part of

A

must be stored and the elements of the array below the diagonal are not referenced.

uplo = Nag_Lower

, the lower triangular part of

A

must be stored and the elements of the array above the diagonal are not referenced.

diag = Nag_UnitDiag

, the diagonal elements of

A

are assumed to be

1

, and are not referenced.

8: $pda$ – Integer Input

On entry: the stride separating row or column elements (depending on the value of order) of the matrix

A

in the array a.

Constraint:

pda \geq \max (1, n)

9: $x [\dim]$ – Complex Input/Output

Note: the dimension, dim, of the array x must be at least

\max (1, 1 + (n - 1) | incx |)

On entry: the right-hand side vector

b

On exit: the solution vector

x

10: $incx$ – Integer Input

On entry: the increment in the subscripts of x between successive elements of

x

Constraint:

incx \neq 0

11: $fail$ – NagError * Input/Output

The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).

6 Error Indicators and Warnings

NE_ALLOC_FAIL: Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
NE_BAD_PARAM: On entry, argument $⟨ value ⟩$ had an illegal value.
NE_INT: On entry, $incx = ⟨ value ⟩$ .
Constraint: $incx \neq 0$ .

On entry, $n = ⟨ value ⟩$ .
Constraint: $n \geq 0$ .
NE_INT_2: On entry, $pda = ⟨ value ⟩$ , $n = ⟨ value ⟩$ .
Constraint: $pda \geq \max (1, n)$ .
NE_NO_LICENCE: Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library CL Interface for further information.

7 Accuracy

The BLAS standard requires accurate implementations which avoid unnecessary over/underflow (see Section 2.7 of Basic Linear Algebra Subprograms Technical (BLAST) Forum (2001)).

8 Parallelism and Performance

f16sfc is not threaded in any implementation.

9 Further Comments

None.

10 Example

This example computes the matrix-vector product

y = α A x

where

A = (\begin{array}{r} 1.0 + 1.0 i & 0.0 + 0.0 i & 0.0 + 0.0 i & 0.0 + 0.0 i \\ 2.0 + 1.0 i & 2.0 + 2.0 i & 0.0 + 0.0 i & 0.0 + 0.0 i \\ 3.0 + 1.0 i & 3.0 + 2.0 i & 3.0 + 3.0 i & 0.0 + 0.0 i \\ 4.0 + 1.0 i & 4.0 + 2.0 i & 4.0 + 3.0 i & 4.0 + 4.0 i \end{array}),

x = (\begin{array}{r} - 1.0 + 1.0 i \\ 2.0 - 2.0 i \\ - 3.0 + 2.0 i \\ - 2.0 + 1.0 i \end{array})

and

α = 1.0 + 0.0 i .

f16sf: FL CL CPP AD

NAG CL Interfacef16sfc (ztrmv)

▸▿ Contents

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results

NAG CL Interface
f16sfc (ztrmv)