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- W1622862312 abstract "Abstract : Several promising new techniques for efficient and accurate numerical solution of large-scale fluid flow problems have been developed. These methods include self-adaptive mesh modification techniques for applications requiring front-tracking and local grid refinement as well as new preconditioning ideas for efficient implementation. Properties of systems of hyperbolic conservation laws have been obtained which will aid in development of accurate front-tracking algorithms. Adaptive grid refinement techniques developed include moving grid methods, local, fixed refinement involving linked-list data structures, and certain local patch refinement ideas which have great potential for ease of implementation in existing large scale codes. Domain decomposition concepts for obtaining efficient preconditioners for iterative techniques have proved quite useful both for local patch refinement and for the solution of problems with rapidly varying coefficients. The fast adaptive algorithms being developed have high potential for both parallelization and vectorization. The algorithms have been designed to take advantage of the emerging parallel and vector-oriented computer architectures. Finally, the incorporation of these fast algorithms in accurate finite element, collocation, and finite difference methods is underway." @default.
- W1622862312 created "2016-06-24" @default.
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- W1622862312 date "1987-11-01" @default.
- W1622862312 modified "2023-10-17" @default.
- W1622862312 title "Adaptive Local Grid Refinement in Computational Fluid Mechanics." @default.
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