Volume 13, Issue 4
Models of Asynchronous Parallel Nonlinear Multisplitting Relaxed Iterations

Z. Z. Bai, D. R. Wang & D. J. Evans

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J. Comp. Math., 13 (1995), pp. 369-386

Published online: 1995-08

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  • Abstract

In the sense of the nonlinear multisplitting and based on the principle of sufficiently using the delayed information, we propose models of asynchronous parallel accelerated overrelaxation iteration methods for solving large scale system of nonlinear equations. Under proper conditions, we set up the local convergence theories of these new method models.

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@Article{JCM-13-369, author = {}, title = {Models of Asynchronous Parallel Nonlinear Multisplitting Relaxed Iterations}, journal = {Journal of Computational Mathematics}, year = {1995}, volume = {13}, number = {4}, pages = {369--386}, abstract = { In the sense of the nonlinear multisplitting and based on the principle of sufficiently using the delayed information, we propose models of asynchronous parallel accelerated overrelaxation iteration methods for solving large scale system of nonlinear equations. Under proper conditions, we set up the local convergence theories of these new method models. }, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9279.html} }
TY - JOUR T1 - Models of Asynchronous Parallel Nonlinear Multisplitting Relaxed Iterations JO - Journal of Computational Mathematics VL - 4 SP - 369 EP - 386 PY - 1995 DA - 1995/08 SN - 13 DO - http://dor.org/ UR - https://global-sci.org/intro/article_detail/jcm/9279.html KW - AB - In the sense of the nonlinear multisplitting and based on the principle of sufficiently using the delayed information, we propose models of asynchronous parallel accelerated overrelaxation iteration methods for solving large scale system of nonlinear equations. Under proper conditions, we set up the local convergence theories of these new method models.
Z. Z. Bai, D. R. Wang & D. J. Evans. (1970). Models of Asynchronous Parallel Nonlinear Multisplitting Relaxed Iterations. Journal of Computational Mathematics. 13 (4). 369-386. doi:
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