NAG Library Routine Document

S14BAF

+− Contents

1 Purpose

2 Specification

3 Description

4 References

5 Parameters

6 Error Indicators and Warnings

7 Accuracy

8 Further Comments

+− 9 Example

9.1 Program Text

9.2 Program Data

9.3 Program Results

1 Purpose

S14BAF computes values for the incomplete gamma functions

P (a, x)

and

Q (a, x)

2 Specification

SUBROUTINE S14BAF (

A, X, TOL, P, Q, IFAIL)

INTEGER	IFAIL
REAL (KIND=nag_wp)	A, X, TOL, P, Q

3 Description

S14BAF evaluates the incomplete gamma functions in the normalized form

P (a, x) = \frac{1}{Γ (a)} \int_{0}^{x} t^{a - 1} e^{- t} d t,

Q (a, x) = \frac{1}{Γ (a)} \int_{x}^{\infty} t^{a - 1} e^{- t} d t,

with

x \geq 0

and

a > 0

, to a user-specified accuracy. With this normalization,

P (a, x) + Q (a, x) = 1

Several methods are used to evaluate the functions depending on the arguments

a

and

x

, the methods including Taylor expansion for

P (a, x)

, Legendre's continued fraction for

Q (a, x)

, and power series for

Q (a, x)

. When both

a

and

x

are large, and

a ≃ x

, the uniform asymptotic expansion of Temme (1987) is employed for greater efficiency – specifically, this expansion is used when

a \geq 20

and

0.7 a \leq x \leq 1.4 a

Once either

P

Q

is computed, the other is obtained by subtraction from

1

. In order to avoid loss of relative precision in this subtraction, the smaller of

P

and

Q

is computed first.

This routine is derived from the subroutine GAM in Gautschi (1979b).

4 References

Gautschi W (1979a) A computational procedure for incomplete gamma functions ACM Trans. Math. Software 5 466–481

Gautschi W (1979b) Algorithm 542: Incomplete gamma functions ACM Trans. Math. Software 5 482–489

Temme N M (1987) On the computation of the incomplete gamma functions for large values of the parameters Algorithms for Approximation (eds J C Mason and M G Cox) Oxford University Press

5 Parameters

1: A – REAL (KIND=nag_wp)Input: On entry: the argument $a$ of the functions.
Constraint: $A > 0.0$ .
2: X – REAL (KIND=nag_wp)Input: On entry: the argument $x$ of the functions.
Constraint: $X \geq 0.0$ .
3: TOL – REAL (KIND=nag_wp)Input: On entry: the relative accuracy required by you in the results. If S14BAF is entered with TOL greater than $1.0$ or less than machine precision, then the value of machine precision is used instead.
4: P – REAL (KIND=nag_wp)Output
5: Q – REAL (KIND=nag_wp)Output: On exit: the values of the functions $P (a, x)$ and $Q (a, x)$ respectively.
6: IFAIL – INTEGERInput/Output: On entry: IFAIL must be set to $0$ , $- 1 or 1$ . If you are unfamiliar with this parameter you should refer to Section 3.3 in the Essential Introduction 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 parameter, 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

If on entry

IFAIL = 0

- 1

, explanatory error messages are output on the current error message unit (as defined by X04AAF).

Errors or warnings detected by the routine:

$IFAIL = 1$

On entry,

A \leq 0.0

$IFAIL = 2$

On entry,

X < 0.0

$IFAIL = 3$: Convergence of the Taylor series or Legendre continued fraction fails within $600$ iterations. This error is extremely unlikely to occur; if it does, contact NAG.

7 Accuracy

There are rare occasions when the relative accuracy attained is somewhat less than that specified by parameter TOL. However, the error should never exceed more than one or two decimal places. Note also that there is a limit of

18

decimal places on the achievable accuracy, because constants in the routine are given to this precision.

8 Further Comments

The time taken for a call of S14BAF depends on the precision requested through TOL, and also varies slightly with the input arguments

a

and

x

9 Example

This example reads values of the argument

a

and

x

from a file, evaluates the function and prints the results.

NAG Library Routine DocumentS14BAF