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Solution Techniques for Large-scale CFD Problems

Solution Techniques for Large-scale CFD Problems

Wagdi G. Habashi (Editor)

ISBN: 978-0-471-95810-9

Aug 1995

454 pages

Select type: Hardcover

In Stock

$710.00

Description

Current CFD problems of interest are typically of a large-scale nature, characterized by a size and complexity demanding the combined efforts of interdisciplinary teams from engineering, mathematics, computer science and physics. This book thus groups a prestigious cross-section of internationally known scientists invited to expound on the following themes:
* Algorithms for vector, parallel and virtual-parallel architectures
* Algorithms for massively parallel architectures
* Convergence enhancement techniques, namely preconditioned interative 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 and design.
This book should prove equally valuable for CFD developers, practitioners and graduate students.
Partial table of contents:

CFD ALGORITHMS FOR PARALLEL AND VIRTUAL-PARALLEL ARCHITECTURES.

Solving Large Incompressible Time-Dependent Flow Problems on Scalable Parallel Systems (H. Daniels & A. Peters).

CFD ALGORITHMS FOR VECTOR-PARALLEL AND MPP ARCHITECTURES.

Compressible Navier-Stokes Solvers on MPPs (L. Fezoui, et al.).

CONVERGENCE ENHANCEMENT TECHNIQUES 1: PRECONDITIONED ITERATIVE SOLVERS FOR IMPLICIT AND FULLY-COUPLED METHODS.

The Algebraic Multilevel Iteration Method: A Scalable and Optimal Algorithm (O. Axelsson).

Quasi-Minimal Residual Iterative Solvers for CFD (N. Nachtigal & B. Semeraro).

CONVERGENCE ENHANCEMENT TECHNQIUES II: DEFECT CORRECTION, MULTIGRID, FORMULATION PRECONDITIONING AND ZONAL METHODS.

Multigrid Methods for Turbomachinery Navier-Stokes Calculations (A. Arnone).

APPLICATION TO LARGE-SCALE SIMULATION AND DESIGN IN AEROSPACE.

Unstructured Mesh Methods for Aerospace Applications (K. Morgan, et al.).