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- W2149566752 abstract "We consider the iterative schemes for the large sparse linear system to solve partial dierential equations. Using spectral radius of iteration matrices, the optimal relaxation parameters and good parameters can be obtained. With those parameters we com- pare the eectiveness of the SOR and SSOR algorithms. Applying Crank-Nicolson approximation, we observe the error distribution ac- cording to domain decomposition. The number of processors due to domain decomposition aects time and error. Numerical experi- ments show that eectiveness of SOR and SSOR can be reversed as time size varies, which is not the usual case. Finally, these phenom- ena suggest conjectures about equilibrium time grid for SOR and SSOR." @default.
- W2149566752 created "2016-06-24" @default.
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- W2149566752 date "2005-01-01" @default.
- W2149566752 modified "2023-09-28" @default.
- W2149566752 title "ITERATIVE ALGORITHMS AND DOMAIN DECOMPOSITION METHODS IN PARTIAL DIFFERENTIAL EQUATIONS" @default.
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