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
General
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