International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Effectiveness of Preconditioned m-Order Gauss-Seidel Method for Linear System
Author(s) | Nirupma Bhatti, Niketa |
---|---|
Country | India |
Abstract | Focusing on the current and the proposed preconditioner, this work examines the efficacy of the preconditioned m-order Gauss-Seidel method. Type I + S and I+N preconditioning are used for the current and proposed preconditioner respectively. Preconditioning algorithms for a linear system are constructed using iterative approaches. MATLAB are used to get the findings. The effectiveness of iterative method is compared concerning convergence, condition number, determinant, spectral radius, and the number of iterations for the current and proposed preconditioner. The numerical results show that for a linear system, the preconditioned m-order Gauss-Seidel method converges at a faster rate and the proposed preconditioner succeeds where the current preconditioner fails. |
Keywords | Condition Number, Preconditioner, Spectral Radius |
Field | Mathematics |
Published In | Volume 5, Issue 2, March-April 2023 |
Published On | 2023-04-26 |
Cite This | Effectiveness of Preconditioned m-Order Gauss-Seidel Method for Linear System - Nirupma Bhatti, Niketa - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.2600 |
DOI | https://doi.org/10.36948/ijfmr.2023.v05i02.2600 |
Short DOI | https://doi.org/gr6h7p |
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E-ISSN 2582-2160
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