JOURNAL ARTICLE

Effectiveness of Preconditioned m-Order Gauss-Seidel Method for Linear System

Nirupma Bhatti -Niketa

Year: 2023 Journal:   International Journal For Multidisciplinary Research Vol: 5 (2)

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:
Preconditioner Gauss–Seidel method Iterative method Applied mathematics Rate of convergence Mathematics Linear system MATLAB Convergence (economics) Mathematical optimization Computer science Mathematical analysis Key (lock)

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Topics

Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Numerical methods in engineering
Physical Sciences →  Engineering →  Mechanics of Materials
Electromagnetic Scattering and Analysis
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics

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