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

5.13. Weber Parabolic Cylinder Functions .

See also confluent hypergeometric functions (§ 5.5).

5.13.1. Real Arguments and Parameters.

Software Packages:

[ Tau92, Fortran] .

Intermediate Libraries:

[ Bak92] .

5.13.2. Articles.

[ LR74] , [ MMV81] , [ RL76] , [ SGA81] .

References

Bak92
L. Baker, C mathematical function handbook, McGraw-Hill, Inc., New York, 1992, includes diskette.

LR74
W. P. Latham and R. W. Redding, On the calculation of the parabolic cylinder functions, J. Comput. Phys. 16 (1974), 66--75.

MMV81
G. Maino, E. Menapace, and A. Ventura, Computation of parabolic cylinder functions by means of a Tricomi expansion, J. Comput. Phys. 40 (1981), 294--304.

RL76
R. W. Redding and W. P. Latham, On the calculation of the parabolic cylinder functions. II. The function , J. Comput. Phys. 20 (1976), 256--258.

SGA81
Z. Schulten, R. G. Gordon, and D. G. M. Anderson, A numerical algorithm for the evaluation of Weber parabolic cylinder functions , and , J. Comput. Phys. 42 (1981), 213--237.

Tau92
G. Taubmann, Parabolic cylinder functions for natural n and positive x, Comput. Phys. Comm. 69 (1992), 415--419.



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 14:25:01 EDT 1995