NAG CL Interface
g01kqc (pdf_​normal_​vector)

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

1: $\mathbf{ilog}$ – Nag_Boolean Input

On entry: the value of ilog determines whether the logarithmic value is returned in PDF.

$\mathbf{ilog}=\mathrm{Nag\_FALSE}$

$f\left(x_i,{\mu }_i,{\sigma }_i\right)$, the probability density function is returned.

$\mathbf{ilog}=\mathrm{Nag\_TRUE}$

$\log \left(f\left(x_i,{\mu }_i,{\sigma }_i\right)\right)$, the logarithm of the probability density function is returned.

2: $\mathbf{lx}$ – Integer Input

On entry: the length of the array x.

Constraint: $\mathbf{lx}>0$.

3: $\mathbf{x}\left[\mathbf{lx}\right]$ – const double Input

On entry: $x_i$, the values at which the PDF is to be evaluated with $x_i=\mathbf{x}\left[j\right]$, $j=\left(i-1\right)\mathrm{ mod }\mathbf{lx}$, for $i=1,2,\dots ,\max \left(\mathbf{lx},\mathbf{lxstd},\mathbf{lxmu}\right)$.

4: $\mathbf{lxmu}$ – Integer Input

On entry: the length of the array xmu.

Constraint: $\mathbf{lxmu}>0$.

5: $\mathbf{xmu}\left[\mathbf{lxmu}\right]$ – const double Input

On entry: ${\mu }_i$, the means with ${\mu }_i=\mathbf{xmu}\left[j\right]$, $j=\left(i-1\right)\mathrm{ mod }\mathbf{lxmu}$.

6: $\mathbf{lxstd}$ – Integer Input

On entry: the length of the array xstd.

Constraint: $\mathbf{lxstd}>0$.

7: $\mathbf{xstd}\left[\mathbf{lxstd}\right]$ – const double Input

On entry: ${\sigma }_i$, the standard deviations with ${\sigma }_i=\mathbf{xstd}\left[j\right]$, $j=\left(i-1\right)\mathrm{ mod }\mathbf{lxstd}$.

Constraint: $\mathbf{xstd}\left[\mathit{j}-1\right]\ge 0.0$, for $\mathit{j}=1,2,\dots ,\mathbf{lxstd}$.

8: $\mathbf{pdf}\left[\mathit{dim}\right]$ – double Output

Note: the dimension, dim, of the array pdf must be at least $\max \left(\mathbf{lx},\mathbf{lxstd},\mathbf{lxmu}\right)$.

On exit: $f\left(x_i,{\mu }_i,{\sigma }_i\right)$ or $\log \left(f\left(x_i,{\mu }_i,{\sigma }_i\right)\right)$.

9: $\mathbf{ivalid}\left[\mathit{dim}\right]$ – Integer Output

Note: the dimension, dim, of the array ivalid must be at least $\max \left(\mathbf{lx},\mathbf{lxstd},\mathbf{lxmu}\right)$.

On exit: $\mathbf{ivalid}\left[i-1\right]$ indicates any errors with the input arguments, with

$\mathbf{ivalid}\left[i-1\right]=0$

No error.

$\mathbf{ivalid}\left[i-1\right]=1$

${\sigma }_i<0$.

10: $\mathbf{fail}$ – 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_ARRAY_SIZE

On entry, $\text{array size}=〈\mathit{\text{value}}〉$.
Constraint: $\mathbf{lx}>0$.

On entry, $\text{array size}=〈\mathit{\text{value}}〉$.
Constraint: $\mathbf{lxmu}>0$.

On entry, $\text{array size}=〈\mathit{\text{value}}〉$.
Constraint: $\mathbf{lxstd}>0$.

NE_BAD_PARAM

On entry, argument $〈\mathit{\text{value}}〉$ had an illegal value.

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.
See Section 7.5 in the Introduction to the NAG Library CL Interface for further information.

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.

NW_IVALID

On entry, at least one value of xstd was invalid.
Check ivalid for more information.

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results