void	f16ypc (Nag_OrderType order, Nag_UploType uplo, Nag_TransType trans, Integer n, Integer k, double alpha, const double a[], Integer pda, double beta, double c[], Integer pdc, NagError *fail)

The function may be called by the names: f16ypc, nag_blast_dsyrk or nag_dsyrk.

3 Description

f16ypc performs one of the symmetric rank-

k

update operations

C \leftarrow α A A^{T} + β C or C \leftarrow α A^{T} A + β C,

where

A

is a real matrix,

C

is an

n \times n

real symmetric matrix, and

α

and

β

are real scalars.

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 the upper or lower triangular part of

C

is stored.

$uplo = Nag_Upper$: The upper triangular part of $C$ is stored.
$uplo = Nag_Lower$: The lower triangular part of $C$ is stored.

Constraint:

uplo = Nag_Upper

Nag_Lower

3: $trans$ – Nag_TransType Input

On entry: specifies the operation to be performed.

$trans = Nag_NoTrans$: $C \leftarrow α A A^{T} + β C$ .
$trans = Nag_Trans$ or $Nag_ConjTrans$: $C \leftarrow α A^{T} A + β C$ .

Constraint:

trans = Nag_NoTrans

Nag_Trans

Nag_ConjTrans

4: $n$ – Integer Input

On entry:

n

, the order of the matrix

C

; the number of rows of

A

trans = Nag_NoTrans

, or the number of columns of

A

otherwise.

Constraint:

n \geq 0

5: $k$ – Integer Input

On entry:

k

, the number of columns of

A

trans = Nag_NoTrans

, or the number of rows of

A

otherwise.

Constraint:

k \geq 0

6: $alpha$ – double Input

On entry: the scalar

α

7: $a [\dim]$ – const double Input

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

$\max (1, pda \times k)$ when $trans = Nag_NoTrans$ and $order = Nag_ColMajor$ ;
$\max (1, n \times pda)$ when $trans = Nag_NoTrans$ and $order = Nag_RowMajor$ ;
$\max (1, pda \times n)$ when $trans = Nag_Trans$ or $Nag_ConjTrans$ and $order = Nag_ColMajor$ ;
$\max (1, k \times pda)$ when $trans = Nag_Trans$ or $Nag_ConjTrans$ and $order = Nag_RowMajor$ .

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]

On entry: the matrix

A

;

A

n \times k

trans = Nag_NoTrans

, or

k \times n

otherwise.

8: $pda$ – Integer Input

On entry: the stride separating row or column elements (depending on the value of order) in the array a.

Constraints:

if $order = Nag_ColMajor$ ,
- if $trans = Nag_NoTrans$ , $pda \geq \max (1, n)$ ;
- if $trans = Nag_Trans$ or $Nag_ConjTrans$ , $pda \geq \max (1, k)$ ;
if $order = Nag_RowMajor$ ,
- if $trans = Nag_NoTrans$ , $pda \geq \max (1, k)$ ;
- if $trans = Nag_Trans$ or $Nag_ConjTrans$ , $pda \geq \max (1, n)$ .

9: $beta$ – double Input

On entry: the scalar

β

10: $c [\dim]$ – double Input/Output

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

\max (1, pdc \times n)

On entry: the

n \times n

symmetric matrix

C

order = Nag_ColMajor

C_{i j}

is stored in

c [(j - 1) \times pdc + i - 1]

order = Nag_RowMajor

C_{i j}

is stored in

c [(i - 1) \times pdc + j - 1]

uplo = Nag_Upper

, the upper triangular part of

C

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

uplo = Nag_Lower

, the lower triangular part of

C

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

On exit: the updated matrix

C

11: $pdc$ – Integer Input

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

C

in the array c.

Constraint:

pdc \geq \max (1, n)

12: $fail$ – 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_ENUM_INT_2: On entry, $trans = ⟨ value ⟩$ , $k = ⟨ value ⟩$ , $pda = ⟨ value ⟩$ .
Constraint: if $trans = Nag_NoTrans$ , $pda \geq \max (1, k)$ .

On entry, $trans = ⟨ value ⟩$ , $k = ⟨ value ⟩$ , $pda = ⟨ value ⟩$ .
Constraint: if $trans = Nag_Trans$ or $Nag_ConjTrans$ , $pda \geq \max (1, k)$ .

On entry, $trans = ⟨ value ⟩$ , $n = ⟨ value ⟩$ , $pda = ⟨ value ⟩$ .
Constraint: if $trans = Nag_NoTrans$ , $pda \geq \max (1, n)$ .

On entry, $trans = ⟨ value ⟩$ , $n = ⟨ value ⟩$ , $pda = ⟨ value ⟩$ .
Constraint: if $trans = Nag_Trans$ or $Nag_ConjTrans$ , $pda \geq \max (1, n)$ .
NE_INT: On entry, $k = ⟨ value ⟩$ .
Constraint: $k \geq 0$ .

On entry, $n = ⟨ value ⟩$ .
Constraint: $n \geq 0$ .
NE_INT_2: On entry, $pdc = ⟨ value ⟩$ , $n = ⟨ value ⟩$ .
Constraint: $pdc \geq \max (1, n)$ .
NE_INTERNAL_ERROR: An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
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

f16ypc is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.

Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this function. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

None.

10 Example

Perform rank-

k

update of real symmetric

4 \times 4

matrix

C

using

4 \times 2

matrix

A

(

k = 2

C = C - A A^{T}

, where

C = (\begin{matrix} 4.30 & - 3.96 & 0.40 & - 0.27 \\ - 3.96 & - 4.87 & 0.31 & 0.07 \\ 0.40 & 0.31 & - 8.02 & - 5.95 \\ - 0.27 & 0.07 & - 5.95 & 0.12 \end{matrix})

and

A = (\begin{matrix} - 3.0 & - 5.0 \\ - 1.0 & 1.0 \\ 2.0 & - 1.0 \\ 1.0 & 6.0 \end{matrix}) .

f16yp: FL CL CPP AD

NAG CL Interfacef16ypc (dsyrk)

▸▿ 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
f16ypc (dsyrk)