NAG Library Routine Document

s15acf (compcdf_normal)

1
Purpose

s15acf returns the value of the complement of the cumulative Normal distribution function, Qx, via the function name.

2
Specification

Fortran Interface
Function s15acf ( x, ifail)
Real (Kind=nag_wp):: s15acf
Integer, Intent (Inout):: ifail
Real (Kind=nag_wp), Intent (In):: x
C Header Interface
#include <nagmk26.h>
double  s15acf_ (const double *x, Integer *ifail)

3
Description

s15acf evaluates an approximate value for the complement of the cumulative Normal distribution function
Qx = 12π x e-u2/2 du .  
The routine is based on the fact that
Qx = 12 erfcx2  
and it calls s15adf to obtain the necessary value of erfc, the complementary error function.

4
References

NIST Digital Library of Mathematical Functions

5
Arguments

1:     x – Real (Kind=nag_wp)Input
On entry: the argument x of the function.
2:     ifail – IntegerInput/Output
On entry: ifail must be set to 0, -1 or 1. If you are unfamiliar with this argument you should refer to Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1 or 1 is recommended. If the output of error messages is undesirable, then the value 1 is recommended. Otherwise, if you are not familiar with this argument, the recommended value is 0. When the value -1 or 1 is used it is essential to test the value of ifail on exit.
On exit: ifail=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6
Error Indicators and Warnings

There are no failure exits from this routine. The argument ifail is included for consistency with other routines in this chapter.

7
Accuracy

Because of its close relationship with erfc the accuracy of this routine is very similar to that in s15adf. If ε and δ are the relative errors in result and argument, respectively, then in principle they are related by
ε x e -x2/2 2πQx δ .  
For x negative or small positive this factor is always less than 1 and accuracy is mainly limited by machine precision. For large positive x we find εx2δ and hence to a certain extent relative accuracy is unavoidably lost. However, the absolute error in the result, E, is given by
E x e -x2/2 2π δ  
and since this factor is always less than one absolute accuracy can be guaranteed for all x.

8
Parallelism and Performance

s15acf is not threaded in any implementation.

9
Further Comments

None.

10
Example

This example reads values of the argument x from a file, evaluates the function at each value of x and prints the results.

10.1
Program Text

Program Text (s15acfe.f90)

10.2
Program Data

Program Data (s15acfe.d)

10.3
Program Results

Program Results (s15acfe.r)