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Non-Overlapping Domain Decomposition via BURA Preconditioning of the Schur Complement

Author

Listed:
  • Nikola Kosturski

    (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria)

  • Svetozar Margenov

    (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria)

  • Yavor Vutov

    (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria)

Abstract

A new class of high-performance preconditioned iterative solution methods for large-scale finite element method (FEM) elliptic systems is proposed and analyzed. The non-overlapping domain decomposition (DD) naturally introduces coupling operator at the interface γ . In general, γ is a manifold of lower dimensions. At the operator level, a key property is that the energy norm associated with the Steklov-Poincaré operator is spectrally equivalent to the Sobolev norm of index 1/2. We define the new multiplicative non-overlapping DD preconditioner by approximating the Schur complement using the best uniform rational approximation (BURA) of L γ 1 / 2 . Here, L γ 1 / 2 denotes the discrete Laplacian over the interface γ . The goal of the paper is to develop a unified framework for analysis of the new class of preconditioned iterative methods. As a final result, we prove that the BURA-based non-overlapping DD preconditioner has optimal computational complexity O ( n ) , where n is the number of unknowns (degrees of freedom) of the FEM linear system. All theoretical estimates are robust, with respect to the geometry of the interface γ . Results of systematic numerical experiments are given at the end to illustrate the convergence properties of the new method, as well as the choice of the involved parameters.

Suggested Citation

  • Nikola Kosturski & Svetozar Margenov & Yavor Vutov, 2022. "Non-Overlapping Domain Decomposition via BURA Preconditioning of the Schur Complement," Mathematics, MDPI, vol. 10(13), pages 1-14, July.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:13:p:2327-:d:854790
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    References listed on IDEAS

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    1. Stanislav Harizanov & Ivan Lirkov & Svetozar Margenov, 2022. "Rational Approximations in Robust Preconditioning of Multiphysics Problems," Mathematics, MDPI, vol. 10(5), pages 1-18, February.
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