A new preconditioned Richardson iterative method
DOI:
https://doi.org/10.33993/jnaat532-1430Keywords:
iterative method, Richardson iteration, convergence rate, Chebyshev polynomialsAbstract
In this paper, we propose a new iterative technique for solving an operator equation \(Ax=y\) based on the Richardson iterative method. Then, by using the Chebyshev polynomials, we modify the proposed method to accelerate the convergence rate. Also, we present the results of some numerical experiments that demonstrate the efficiency and effectivenessof the proposed methods compared to the existing, state-of-the-art methods.
Downloads
References
S.F. Ashby, T.A. Manteuffel and J.S. Otto, A comparison of adaptive Chebyshev and least squares polynomial preconditioning for Hermitian positive definite linear systems, SIAM J. Sci. Statist. Comput., 13 (1992), pp. 1-29. https://doi.org/10.1137/0913001 DOI: https://doi.org/10.1137/0913001
C.C. Cheny, Introduction to Approximation Theory, McGraw Hill, New York, 1996.
S. Dahlke, M. Fornasier and T. Raasch, Adaptive frame methods for elliptic operator equations, Advances in comp. Math., 27 (2007), pp. 27-63. DOI: https://doi.org/10.1007/s10444-005-7501-6
I. Daubechies, G. Teschke and L. Vese, Iteratively solving linear inverse problems under general convex constraints, Inverse Probl. Imaging, 1 (2007), pp. 29-46. DOI: https://doi.org/10.3934/ipi.2007.1.29
H. Jamali and M. Kolahdouz, Using frames in steepest descent-based iteration method for solving operator equations, Sahand Commun. Math. Anal., 18 (2021), pp. 97-109. https://doi.org/10.22130/scma.2020.123786.771
H. Jamali and M. Kolahdouz, Some iterative methods for solving operator equations by using fusion frames, Filomat, 36 (2022), pp. 1955-1965. https://doi.org/10.2298/fil2206955j DOI: https://doi.org/10.2298/FIL2206955J
H. Jamali and R. Pourkani, Using frames in GMRES-based iteration method for solving operator equations, JMMRC, 13(2023) no.2, pp. 107-119.
C.T. Kelley, A fast multilevel algorithm for integral equations, SIAM J. Numer. Anal., 32 (1995), pp. 501-513. DOI: https://doi.org/10.1137/0732021
C.T. Kelley and E.W. Sachs, Multilevel algorithms for constrained compact fixed point problems, SIAM J. Sci. Comput., 15 (1994), pp. 645-667. https://doi.org/10.1137/0915042 DOI: https://doi.org/10.1137/0915042
R.J. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems, SIAM, 2007. DOI: https://doi.org/10.1137/1.9780898717839
Y. Saad, Iterative methods for Sparse Linear Systems, PWS press, New York, 2000. DOI: https://doi.org/10.1016/S1570-579X(01)80025-2
Y. Saad, Iterative methods for Sparse Linear Systems(2nd ed.), SIAM, 2011.
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Hassan Jamali, Reza Pourkani, Mohammad Abdi Arablou
This work is licensed under a Creative Commons Attribution 4.0 International License.
Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.