Automating scientific and engineering computing

Elisha Sacks, Leo Joskowicz

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper describes research on automating scientific and engineering computing by combining domain knowledge,mathematicaltheory, artificial intelligence techniques, and numerical software. Wepresent two case studies: kinematic analysis of mechanisms and phase space analysis of dynamical systems. The case studies illustrate our general strategy of identifying an important task domain, formalizing the domainknowledge and analysis tools of experts, and incorporating the formalization into a useful problem solver. The problem solvers could not workwithout a robust, high-level interface to conventional numerical software. We describe an initial interface that managesa root finder, a continuation package, an ordinary differential equation integrator, and a Lyapunov exponent calculator.

Original languageAmerican English
Pages110-114
Number of pages5
StatePublished - 1992
Externally publishedYes
Event1992 AAAI Fall Symposium on Intelligent Scientific Computation - Cambridge, United States
Duration: 23 Oct 199225 Oct 1992

Conference

Conference1992 AAAI Fall Symposium on Intelligent Scientific Computation
Country/TerritoryUnited States
CityCambridge
Period23/10/9225/10/92

Bibliographical note

Funding Information:
Existing software packages support some aspects of scientific and engineering computing. However, they are restricted in the class of problems they can solve *Supported by the National Science Foundation under grant No. IRI-9008527 and by an IBMg rant.

Publisher Copyright:
© 1992, AAAI (www.aaai.org). All rights reserved.

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