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Sergey I. Martynenko

    The Robust Multigrid Technique
    Numerical Methods for Black-Box Software in Computational Continuum Mechanics
    • Numerical Methods for Black-Box Software in Computational Continuum Mechanics

      Parallel High-Performance Computing

      • 136pages
      • 5 heures de lecture

      The book features a structured organization of material, designed to facilitate understanding and accessibility. Each section is thoughtfully arranged to build upon key concepts, ensuring a logical flow of information. This approach allows readers to engage deeply with the content while easily navigating through various topics. The clear layout enhances the learning experience, making it suitable for both beginners and those seeking to deepen their knowledge.

      Numerical Methods for Black-Box Software in Computational Continuum Mechanics
    • The Robust Multigrid Technique

      For Black-Box Software

      • 198pages
      • 7 heures de lecture

      This book presents a detailed description of a robust pseudomultigrid algorithm for solving (initial-)boundary value problems on structured grids in a black-box manner. To overcome the problem of robustness, the presented Robust Multigrid Technique (RMT) is based on the application of the essential multigrid principle in a single grid algorithm. It results in an extremely simple, very robust and highly parallel solver with close-to-optimal algorithmic complexity and the least number of problem-dependent components. Topics covered include an introduction to the mathematical principles of multigrid methods, a detailed description of RMT, results of convergence analysis and complexity, possible expansion on unstructured grids, numerical experiments and a brief description of multigrid software, parallel RMT and estimations of speed-up and efficiency of the parallel multigrid algorithms, and finally applications of RMT for the numerical solution of the incompressible Navier Stokes equations. Potential readers are graduate students and researchers working in applied and numerical mathematics as well as multigrid practitioners and software programmers. Contents Introduction to multigrid Robust multigrid technique Parallel multigrid methods Applications of multigrid methods in computational fluid dynamics

      The Robust Multigrid Technique