NAG FL Interface
f06paf (dgemv)

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

1: $\mathbf{trans}$ – Character(1) Input

On entry: specifies the operation to be performed.

$\mathbf{trans}=\text{'N'}$

$y\leftarrow \alpha Ax+\beta y$.

$\mathbf{trans}=\text{'T'}$ or $\text{'C'}$

$y\leftarrow \alpha A^{\mathrm{T}}x+\beta y$.

Constraint: $\mathbf{trans}=\text{'N'}$, $\text{'T'}$ or $\text{'C'}$.

2: $\mathbf{m}$ – Integer Input

On entry: $m$, the number of rows of the matrix $A$.

Constraint: $\mathbf{m}\ge 0$.

3: $\mathbf{n}$ – Integer Input

On entry: $n$, the number of columns of the matrix $A$.

Constraint: $\mathbf{n}\ge 0$.

4: $\mathbf{alpha}$ – Real (Kind=nag_wp) Input

On entry: the scalar $\alpha$.

5: $\mathbf{a}(\mathbf{lda},*)$ – Real (Kind=nag_wp) array Input

Note: the second dimension of the array a must be at least $\mathbf{n}$.

On entry: the $m\times n$ matrix $A$.

6: $\mathbf{lda}$ – Integer Input

On entry: the first dimension of the array a as declared in the (sub)program from which f06paf is called.

Constraint: $\mathbf{lda}\ge \max (1,\mathbf{m})$.

7: $\mathbf{x}\left(*\right)$ – Real (Kind=nag_wp) array Input

Note: the dimension of the array x must be at least $\max (1,1+(\mathbf{n}-1)\times \left|\mathbf{incx}\right|)$ if $\mathbf{trans}=\text{'N'}$ and at least $\max (1,1+(\mathbf{m}-1)\times \left|\mathbf{incx}\right|)$ if $\mathbf{trans}=\text{'T'}$ or $\text{'C'}$.

On entry: the vector $x$.

If $\mathbf{trans}=\text{'N'}$,

• if $\mathbf{incx}>0$, $x_{\mathit{i}}$ must be stored in $\mathbf{x}\left(1+(\mathit{i}-1)\times \mathbf{incx}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{n}$;
• if $\mathbf{incx}<0$, $x_{\mathit{i}}$ must be stored in $\mathbf{x}\left(1-(\mathbf{n}-\mathit{i})\times \mathbf{incx}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{n}$.

If $\mathbf{trans}=\text{'T'}$ or $\text{'C'}$,

• if $\mathbf{incx}>0$, $x_{\mathit{i}}$ must be stored in $\mathbf{x}\left(1+(\mathit{i}-1)\times \mathbf{incx}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{m}$;
• if $\mathbf{incx}<0$, $x_{\mathit{i}}$ must be stored in $\mathbf{x}\left(1-(\mathbf{m}-\mathit{i})\times \mathbf{incx}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{m}$.

8: $\mathbf{incx}$ – Integer Input

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

Constraint: $\mathbf{incx}\ne 0$.

9: $\mathbf{beta}$ – Real (Kind=nag_wp) Input

On entry: the scalar $\beta$.

10: $\mathbf{y}\left(*\right)$ – Real (Kind=nag_wp) array Input/Output

Note: the dimension of the array y must be at least $\max (1,1+(\mathbf{m}-1)\times \left|\mathbf{incy}\right|)$ if $\mathbf{trans}=\text{'N'}$ and at least $\max (1,1+(\mathbf{n}-1)\times \left|\mathbf{incy}\right|)$ if $\mathbf{trans}=\text{'T'}$ or $\text{'C'}$.

On entry: the vector $y$, if $\mathbf{beta}=0.0$, y need not be set.

If $\mathbf{trans}=\text{'N'}$,

• if $\mathbf{incy}>0$, $y_{\mathit{i}}$ must be stored in $\mathbf{y}\left(1+(\mathit{i}-1)\times \mathbf{incy}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{m}$;
• if $\mathbf{incy}<0$, $y_{\mathit{i}}$ must be stored in $\mathbf{y}\left(1-(\mathbf{m}-\mathit{i})\times \mathbf{incy}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{m}$.

If $\mathbf{trans}=\text{'T'}$ or $\text{'C'}$,

• if $\mathbf{incy}>0$, $y_{\mathit{i}}$ must be stored in $\mathbf{y}\left(1+(\mathit{i}-1)\times \mathbf{incy}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{n}$;
• if $\mathbf{incy}<0$, $y_{\mathit{i}}$ must be stored in $\mathbf{y}\left(1-(\mathbf{n}-\mathit{i})\times \mathbf{incy}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{n}$.

On exit: the updated vector $y$ stored in the array elements used to supply the original vector $y$.

11: $\mathbf{incy}$ – Integer Input

On entry: the increment in the subscripts of y between successive elements of $y$.

Constraint: $\mathbf{incy}\ne 0$.

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example