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- W2023655107 abstract "When convergent Jacobi or Gauss-Seidel iterations can be applied to solve systems of linear equations, a natural question is how convergence rates are affected if the original system is modified by performing some Gaussian elimination. We prove that if the initial iteration matrix is nonnegative, then such elimination improves convergence. Our results extend those contained in [4]." @default.
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- W2023655107 date "1987-08-01" @default.
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- W2023655107 title "Improving Jacobi and Gauss-Seidel Iterations" @default.
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- W2023655107 doi "https://doi.org/10.1016/s0024-3795(87)90321-1" @default.
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