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机构地区:[1]School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China
出 处:《Journal of Computational Mathematics》2018年第4期542-562,共21页计算数学(英文)
基 金:This work was supported by the Natural Science Foundation of China (NSFC) under grant (11371287, 61663043) and Natural Science Basis Research Plan in Shaanxi Province of China under grant 2016JM5077.
摘 要:A quasi-Newton waveform relaxation (WR) algorithm for semi-linear reaction-diffusion equations is presented at first in this paper. Using the idea of energy estimate, a general proof method for convergence of the continuous case and the discrete case of quasi-Newton WR is given, which appears to be the superlinear rate. The semi-linear wave equation and semi-linear coupled equations can similarly be solved by quasi-Newton WR algorithm and be proved as convergent with the energy inequalities. Finally several parallel numerical experiments are implemented to confirm the effectiveness of the above theories.A quasi-Newton waveform relaxation (WR) algorithm for semi-linear reaction-diffusion equations is presented at first in this paper. Using the idea of energy estimate, a general proof method for convergence of the continuous case and the discrete case of quasi-Newton WR is given, which appears to be the superlinear rate. The semi-linear wave equation and semi-linear coupled equations can similarly be solved by quasi-Newton WR algorithm and be proved as convergent with the energy inequalities. Finally several parallel numerical experiments are implemented to confirm the effectiveness of the above theories.
关 键 词:Waveform relaxation QUASI-NEWTON Energy method SUPERLINEAR PARALLELISM
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