Optimal \(p\)-cyclic SOR for complex spectra
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Publication:1368770
DOI10.1016/S0024-3795(96)00538-1zbMath0885.65034OpenAlexW2033593535MaRDI QIDQ1368770
S. Galanis, Dimitrios Noutsos, Apostolos Hadjidimos
Publication date: 2 April 1998
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0024-3795(96)00538-1
algorithmlarge scale systemssuccessive overrelaxation methodSOR methodweakly cyclic Jacobi matrixcomplex spectradetermination of optimal parameters
Related Items (4)
The SOR-kmethod for linear systems withp-cyclic matrices ⋮ A Young-Eidson's type algorithm for complex \(p\)-cyclic SOR spectra ⋮ Successive overrelaxation (SOR) and related methods ⋮ The matrix analogue of the scalar AOR iterative method
Cites Work
- Over- and underrelaxation for linear systems with weakly cyclic Jacobi matrices of index p
- \(p\)-cyclic matrices: A generalization of the Young-Frankel successive overrelaxation scheme
- Optimal successive overrelaxation iterative methods for \(p\)-cyclic matrices
- Convergence of block iterative methods applied to sparse least-squares problems
- Convergence of a direct-iterative method for large-scale least-squares problems
- On the equivalence of the k-step iterative Euler methods and successive overrelaxation (SOR) methods for k-cyclic matrices
- The analysis of k-step iterative methods for linear systems from summability theory
- Block cyclic SOR for Markov chains with \(p\)-cyclic infinitesimal generator
- Optimality relationships for p-cyclic SOR
- Optimal stretched parameters for the SOR iterative method
- Optimal \(p\)-cyclic SOR
- On some convergence results of the k-step iterative methods
- On complex successive overrelaxation
- Best Cyclic Repartitioning for Optimal Successive Overrelaxation Convergence
- Iterative Methods for Solving Partial Difference Equations of Elliptic Type
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