A detailed overview of the most popular domain decomposition methods in parallel computing, intended for mathematicians, physicists and engineers alike.
A detailed overview of the most popular domain decomposition methods in parallel computing, intended for mathematicians, physicists and engineers alike.
Victorita Dolean is a Reader in the Department of Mathematics and Statistics, University of Strathclyde. She has been a research assistant in CMAP (Center of Applied Mathematics) at the École Polytechnique in Paris, assistant professor at the University of Evry and the University of Nice, and visiting professor at the University of Geneva. Her research has been oriented toward practical and modern applications of scientific computing by developing interactions between academic and industrial partners and taking part in the life of the scientific community as a member of the Board of Directors of SMAI (Society of Industrial and Applied Mathematics in France).
Inhaltsangabe
Preface 1. Schwarz methods 2. Optimized Schwarz methods 3. Krylov methods 4. Coarse spaces 5. Theory of two-level additive Schwarz methods 6. Neumann¿Neumann and FETI algorithms 7. Robust coarse spaces via generalized eigenproblems: the GenEO method 8. Parallel implementation of Schwarz methods Bibliography Index.
