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A new search method for domain decomposition for ODEs

✍ Scribed by Peiyuan Li; Richard L. Peskin


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
661 KB
Volume
36
Category
Article
ISSN
0378-4754

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✦ Synopsis


Using singular perturbation and artificial intelligence techniques for domain decomposition for ordinary differential equations (ODES) has proven to be a successful method. In the new method we define a search space which is stretched on the reduced solutions. The space is represented by a B-tree. The object of the search is to construct an acceptable path that traverses the space from one end of the boundary to the other end of the boundary. Two search strategies, DFS search and backtrack, are used in the search process. The search method is implemented in Smalltalk, an object oriented programming environment.


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✍ Romeo F. Susan-Resiga; Hafiz M. Atassi πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 320 KB

A new domain decomposition method is presented for the exterior Helmholtz problem. The nonlocal Dirichlet-to-Neumann (DtN) map is used as a nonreflecting condition on the outer computational boundary. The computational domain is divided into nonoverlapping subdomains with Sommerfeld-type conditions