Press
here
to get the full document in PostScript format.

Press
here
to get this subdocument in PostScript format.

# Numerical Evaluation of Special Functions

**D. W. Lozier and F. W. J. Olver**

** 4. Functions of One Variable
**

In the references that follow an indication is made of the programming
language where applicable.
Also, special note is made of references that include surveys.
Libraries and interactive systems are listed separately.

In the subsections of § 4 and § 5, a library or interactive system
is listed only if it employs an algorithm tailored to the restrictions
of the subsection.
For example, NAG is listed in § 4.1.1 and § 4.1.2 because it has
separate capabilities for Airy functions of real and complex argument.
Maple is listed only in § 4.1.1 because it does not have Airy
functions of complex argument.
Mathematica is listed only in § 4.1.2 because it does not use
a restricted algorithm for real arguments.
Because these distinctions are sometimes difficult to infer from
software documentation and even, when available, from source code,
they should be regarded only as a guide, both in § 4 and § 5.

** 4.1. Airy Functions
. **

** 4.2. Error Functions, Dawson's Integral, Fresnel Integrals
. **

** 4.3. Exponential Integrals, Logarithmic Integral, Sine and Cosine Integrals
. **

** 4.4. Gamma, Psi, and Polygamma Functions
. **

** 4.5. Landau Density and Distribution Functions
. **

** 4.6. Polylogarithms
. **

** 4.7. Zeta Function
. **

### Abstract:

*This document is an excerpt from the current hypertext version of
an article that appeared in Walter Gautschi (ed.),
** Mathematics of Computation 1943--1993: A Half-Century of
Computational Mathematics*, Proceedings of Symposia in
Applied Mathematics 48, American Mathematical Society,
Providence, RI 02940, 1994.
The symposium was held at the University of British Columbia
August 9--13, 1993, in honor of the fiftieth anniversary of
the journal * Mathematics of Computation*.
The original abstract follows.

*
Higher transcendental functions continue to play varied and
important roles in investigations by engineers, mathematicians,
scientists and statisticians.
The purpose of this paper is to assist in locating useful approximations
and software for the numerical generation of these functions, and to
offer some suggestions for future developments in this field.
*

Applied and Computational Mathematics Division,
National Institute of Standards and Technology,
Gaithersburg, Md 20899

* E-mail address: dlozier@nist.gov*

Institute for Physical Science and Technology,
University of Maryland,
College Park, MD 20742

* E-mail address: olver@bessel.umd.edu*

The research of the second author has been supported by NSF
Grant CCR 89-14933.

1991 * Mathematics Subject Classification*. Primary 65D20;
Secondary 33-00.

*Daniel W Lozier *

Fri Apr 7 13:45:14 EDT 1995