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Avant-Garde Matrix Splitting for the Solution of Sparse Non-symmetric Linear Systems.

Abdullah Shah

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Abstract

Abstract--A non-symmetric matrix splitting is presented for the solution of certain sparse linear systems. The author reports the comparison and the convergence performance of the previous and the contemporary methods and includes explicit comments. It is studied that some recent methods may work efficiently with a symmetric matrix but show insufficiencies like numerical instability and non-scaling invariant with non-symmetric matrix. The proposed matrix splitting can overcome these deficiencies.

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Abstract--A non-symmetric matrix splitting is presented for the solution of certain sparse linear systems. The author reports the comparison and the convergence performance of the previous and the contemporary methods and includes explicit comments. It is studied that some recent methods may work efficiently with a symmetric matrix but show insufficiencies like numerical instability and non-scaling invariant with non-symmetric matrix. The proposed matrix splitting can overcome these deficiencies.

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Available abstract

Abstract--A non-symmetric matrix splitting is presented for the solution of certain sparse linear systems. The author reports the comparison and the convergence performance of the previous and the contemporary methods and includes explicit comments. It is studied that some recent methods may work efficiently with a symmetric matrix but show insufficiencies like numerical instability and non-scaling invariant with non-symmetric matrix. The proposed matrix splitting can overcome these deficiencies.

Key concepts: Symmetric matrix, Matrix splitting, Matrix (chemical analysis), Mathematics, Sparse matrix, Convergent matrix, State-transition matrix, Linear system

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