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]. © 1987.
Referencias:
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Citas:
---------- APA ----------
(1987)
. Improving Jacobi and Gauss-Seidel Iterations. Linear Algebra and Its Applications, 93(C), 161-170.
http://dx.doi.org/10.1016/S0024-3795(87)90321-1---------- CHICAGO ----------
Milaszewicz, J.P.
"Improving Jacobi and Gauss-Seidel Iterations"
. Linear Algebra and Its Applications 93, no. C
(1987) : 161-170.
http://dx.doi.org/10.1016/S0024-3795(87)90321-1---------- MLA ----------
Milaszewicz, J.P.
"Improving Jacobi and Gauss-Seidel Iterations"
. Linear Algebra and Its Applications, vol. 93, no. C, 1987, pp. 161-170.
http://dx.doi.org/10.1016/S0024-3795(87)90321-1---------- VANCOUVER ----------
Milaszewicz, J.P. Improving Jacobi and Gauss-Seidel Iterations. Linear Algebra Its Appl. 1987;93(C):161-170.
http://dx.doi.org/10.1016/S0024-3795(87)90321-1