1986International Journal for Numerical Methods in EngineeringRequires access

Use of incomplete decomposition of the coefficient matrix in solving linear equations

Dao‐Qi Chen, R. P. Tewarson

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Abstract

Abstract Matrix incomplete decompositions are widely and successfully used in iterative methods for solving systems of linear equations. We have found that one can also solve systems of linear equations directly by using an incomplete LU decomposition of the coefficient matrix. In some special cases, the proposed method not only leads to great savings in storage space but also improves the computational efficiency; for example, when solving large systems of linear equations with banded shifted coefficient matrices. Some interesting tested subroutines are also given.

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What this paper is about

Abstract Matrix incomplete decompositions are widely and successfully used in iterative methods for solving systems of linear equations. We have found that one can also solve systems of linear equations directly by using an incomplete LU decomposition of the coefficient matrix. In some special cases, the proposed method not only leads to great savings in storage space but also improves the computational efficiency; for example, when solving large systems of linear equations with banded shifted coefficient matrices. Some interesting tested subroutines are also given.

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Available abstract

Abstract Matrix incomplete decompositions are widely and successfully used in iterative methods for solving systems of linear equations. We have found that one can also solve systems of linear equations directly by using an incomplete LU decomposition of the coefficient matrix. In some special cases, the proposed method not only leads to great savings in storage space but also improves the computational efficiency; for example, when solving large systems of linear equations with banded shifted coefficient matrices. Some interesting tested subroutines are also given.

Key concepts: Coefficient matrix, Linear equation, System of linear equations, Linear system, Matrix (chemical analysis), Matrix decomposition, Mathematics, Applied mathematics

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