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Minimizing computer cost for the solution of certain scientific problems

Published: 17 November 1970 Publication History

Abstract

Many scientific problems require solution of the Laplace, Poission or Fourier equation. These equations occur in heat flow, fluid flow, diffusion and structural problems. It is well known that these types of problems lead to large sets of simultaneous equations that frequently require a number of iterations consuming a lot of computer dollars before a solution is obtained. Frequently one must solve a few hundred to a few thousand simultaneous equations. Numerical methods likely to be used for solution include: (1) Liebmann, an explicit method, (2) alternating direction implicit procedure and (3) banded matrix inversion technique.

References

[1]
G D Smith Numerical solution of partial differential equations Oxford University Press pp 149--151 1965
[2]
J Douglas Jr On the numerical integration of μxx + μyy = μt by implicit methods J Soc Ind Appl Math Vol 3 pp 52--65 1955
[3]
D W Peaceman H H Rachford Jr The numerical solution of parabolic and elliptic differential equations J Soc Ind Appl Math Vol 3 pp 28--44 1953
[4]
B R Koehler Private Communication Texas A&M University College Station Texas March 10 1969
[5]
B Carnahan H A Luther J O Wilkes The implicit alternating-direction method Applied Numerical Methods Vol 2 pp 543--553 1964

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AFIPS '70 (Fall): Proceedings of the November 17-19, 1970, fall joint computer conference
November 1970
683 pages
ISBN:9781450379045
DOI:10.1145/1478462
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  • AFIPS: American Federation of Information Processing Societies

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 November 1970

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