NAG FL Interface
f06hcf (zdscl)

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

1: $\mathbf{n}$ – Integer Input

On entry: $n$, the number of elements in $d$ and $x$.

2: $\mathbf{d}\left(*\right)$ – Complex (Kind=nag_wp) array Input

Note: the dimension of the array d must be at least $\max (1,1+(\mathbf{n}-1)\times \left|\mathbf{incd}\right|)$.

On entry: the vector $d$.

If $\mathbf{incd}>0$, $d_{\mathit{i}}$ must be stored in $\mathbf{d}\left((\mathit{i}-1)\times \mathbf{incd}+1\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{n}$.

If $\mathbf{incd}<0$, $d_{\mathit{i}}$ must be stored in $\mathbf{d}\left(1-(\mathbf{n}-\mathit{i})\times \mathbf{incd}\right)$, for $\mathit{i}=1,2,\dots ,\mathbf{n}$.

3: $\mathbf{incd}$ – Integer Input

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

4: $\mathbf{x}\left(*\right)$ – Complex (Kind=nag_wp) array Input/Output

Note: the dimension of the array x must be at least $\max (1,1+(\mathbf{n}-1)\times \left|\mathbf{incx}\right|)$.

On entry: the array x must contain the $n$-element vector $x$.

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 $\mathit{i}=1,2,\dots ,\mathbf{n}$.

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

Intermediate elements of x are unchanged.

5: $\mathbf{incx}$ – Integer Input

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

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example