Current CFD problems of interest are typically of a large-scalenature, characterized by a size and complexity demanding thecombined efforts of interdisciplinary teams from engineering,mathematics, computer science and physics. This book thus groups aprestigious cross-section of internationally known scientistsinvited to expound on the following themes: * Algorithms for vector, parallel and virtual-parallelarchitectures * Algorithms for massively parallel architectures * Convergence enhancement techniques, namely preconditionedinterative methods for implicit or fully-coupled approaches * Convergence enhancement techniques, such as defect correction,multigrid, formulation preconditioning and zonal methods * Application of these techniques to large-scale CFD analysis anddesign. This book should prove equally valuable for CFD developers,practitioners and graduate students.Partial table of contents:
CFD ALGORITHMS FOR PARALLEL AND VIRTUAL-PARALLELARCHITECTURES.
Solving Large Incompressible Time-Dependent Flow Problems onScalable Parallel Systems (H. Daniels & A. Peters).
CFD ALGORITHMS FOR VECTOR-PARALLEL AND MPP ARCHITECTURES.
Compressible Navier-Stokes Solvers on MPPs (L. Fezoui, etal.).
CONVERGENCE ENHANCEMENT TECHNIQUES 1: PRECONDITIONED ITERATIVESOLVERS FOR IMPLICIT AND FULLY-COUPLED METHODS.
The Algebraic Multilevel Iteration Method: A Scalable and OptimalAlgorithm (O. Axelsson).
Quasi-Minimal Residual Iterative Solvers for CFD (N. Nachtigal& B. Semeraro).