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Volume 1, Issue 2
Simpler Hybrid GMRES

J. Info. Comput. Sci. , 1 (2006), pp. 110-114.

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  • Abstract
Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES is employed at the first phase to produce iterative polynomials, which will be used at the second phase to implement the Richardson iteration. In the process of GMRES, a least squares problem needs to be solved which involves an upper Hessenberg factorization. Instead of using GMRES, we may use simpler GMRES. Correspondingly, simpler hybrid GMRES algorithms are formulated. It is described how to construct the iterative polynomials from simpler GMRES. The new algorithms avoid the upper Hessenberg factorization so that they are easier to program and require a less amount of work. Numerical examples are conducted to illustrate the good performance of the new algorithms.
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@Article{JICS-1-110, author = {}, title = {Simpler Hybrid GMRES}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {1}, number = {2}, pages = {110--114}, abstract = { Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES is employed at the first phase to produce iterative polynomials, which will be used at the second phase to implement the Richardson iteration. In the process of GMRES, a least squares problem needs to be solved which involves an upper Hessenberg factorization. Instead of using GMRES, we may use simpler GMRES. Correspondingly, simpler hybrid GMRES algorithms are formulated. It is described how to construct the iterative polynomials from simpler GMRES. The new algorithms avoid the upper Hessenberg factorization so that they are easier to program and require a less amount of work. Numerical examples are conducted to illustrate the good performance of the new algorithms. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22850.html} }
TY - JOUR T1 - Simpler Hybrid GMRES AU - JO - Journal of Information and Computing Science VL - 2 SP - 110 EP - 114 PY - 2024 DA - 2024/01 SN - 1 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22850.html KW - AB - Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES is employed at the first phase to produce iterative polynomials, which will be used at the second phase to implement the Richardson iteration. In the process of GMRES, a least squares problem needs to be solved which involves an upper Hessenberg factorization. Instead of using GMRES, we may use simpler GMRES. Correspondingly, simpler hybrid GMRES algorithms are formulated. It is described how to construct the iterative polynomials from simpler GMRES. The new algorithms avoid the upper Hessenberg factorization so that they are easier to program and require a less amount of work. Numerical examples are conducted to illustrate the good performance of the new algorithms.
. (2024). Simpler Hybrid GMRES. Journal of Information and Computing Science. 1 (2). 110-114. doi:
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