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有關 Computational complexity of weighted splitting schemes on parallel computers. 的學術文章
… complexity of weighted splitting schemes on parallel … - ‎Csomós - 9 個引述

Computational complexity of weighted splitting schemes on ...

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由 P Csomós 著作2007被引用 9 次 — The recently rediscovered weighted splitting schemes have the great advantage of being parallelizable on operator level, which allows us to reduce the ...

Computational complexity of weighted splitting schemes on ...

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2024年10月22日 — In this paper, the computational times needed for the weighted splitting methods are studied in comparison with the sequential (S) splitting and ...

Computational Complexity of Weighted Splitting Schemes ...

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由 PC OS 著作 — The recently rediscovered weighted splitting schemes have the great advantage of being parallelizable on operator level, which allows us to reduce the ...

Computational complexity of weighted splitting schemes on ...

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The computational times needed for the weighted splitting methods are studied in comparison with the sequential splitting and the Marchuk–Strang (MSt) ...

Petra Csomós

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Computational complexity of weighted splitting schemes on parallel computers. P Csomós, I Dimov, I Faragó, Á Havasi, T Ostromsky. The International Journal of ...

Efficient Implementation of Weighted ENO Schemes

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由 GS Jiang 著作1996被引用 7817 次 — In this paper, we further analyze, test, modify, and improve the high order WENO (weighted essentially non-oscillatory) finite difference schemes of Liu, Osher ...

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Ostromsky: Computational complexity of weighted splitting scheme on parallel computers, International Journal of Parallel, Emergent and Distributed.

Weighted sequential splittings and their analysis

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由 P Csomós 著作2005被引用 128 次 — In this paper the weighted sequential splittings are introduced and their local splitting error is analyzed. New results are presented for the case where the ...

Parallel Algorithms and Applications, Volume 22

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Computational complexity of weighted splitting schemes on parallel computers. ... algorithm for fault detection in t-diagnosable multi-processor systems.