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  • https://doi.org/10.3846/1392-6292.2007.12.1-16Copy DOI Icon

PARALLEL VARIATIONAL ITERATIVE LINEAR SOLVERS

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Abstract

In this work we consider parallel variational algorithms for solution of linear systems. Theoretical analysis explains the superlinear convergence rate for two step gradient descent method. A new modification of the algorithm is proposed. Results of computational experiments are given for a linear system of equations approximating 3D elliptic boundary value problem. All algorithms are implemented using parallel array object tool ParSol, then a parallel algorithm follows semi‐automatically from the serial one. Results of the scalability analysis are presented and the efficiency of the presented parallel algorithm is investigated experimentally.

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