Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering
£27.99
- Editors:
- David E. Keyes, Columbia University, New York
- Yousef Saad, University of Minnesota
- Donald G. Truhlar, University of Minnesota
- Date Published: April 1995
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Paperback
- isbn: 9780898713480
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This refereed volume arose from the editors' recognition that physical scientists, engineers, and applied mathematicians are developing, in parallel, solutions to problems of parallelization. The cross-disciplinary field of scientific computation is bringing about better communication between heterogeneous computational groups, as they face this common challenge. This volume is one attempt to provide cross-disciplinary communication. Problem decomposition and the use of domain-based parallelism in computational science and engineering was the subject addressed at a workshop held at the University of Minnesota Supercomputer Institute in April 1994. The authors were subsequently able to address the relationships between their individual applications and independently developed approaches.
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×Product details
- Date Published: April 1995
- format: Paperback
- isbn: 9780898713480
- length: 340 pages
- dimensions: 255 x 176 x 20 mm
- weight: 0.585kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
Chapter 1: A Family of Overlapping Schwarz Algorithms for Nonsymmetric and Indefinite Elliptic Problems, Xiao-Chuan Cai
Chapter 2: Domain Decomposition Methods for Wave Propagation Problems, Alfio Quarteroni
Chapter 3: Domain Decomposition, Parallel Computing, and Petroleum Engineering, Petter Bjorstad and Terje Karstad
Chapter 4: Parallel Implicit Methods for Aerodynamic Applications on Unstructured Grids, V. Venkatakrishnan
Chapter 5: Newton-Krylov-Schwarz Methods Applied to the Tokamak Edge Plasma Fluid Equations, D.A. Knoll, P.R. McHugh, and V.A. Mousseau
Chapter 6: Parallel Domain Decomposition Software, William Gropp and Barry Smith
Chapter 7: Decomposition of Space-Time Domains: Accelerated Waveform Methods, with Application to Semiconductor Device Simulation, Andrew Lumsdaine and Mark W. Reichelt
Chapter 8: A Parallel Multi-Level Solution Method for Large Markov Chains, Graham Horton
Chapter 9: Optimizing Substructuring Methods for Repeated Right Hand Sides, Scalable Parallel Coarse Solvers, and Global/Local Analysis, Charbel Farhat
Chapter 10: Parallel Implementation of a Domain Decomposition Method for Non-Linear Elasticity Problems, Francois-Xavier Roux
Chapter 11: Fictitious Domain/Domain Decomposition Methods for Partial Differential Equations, Roland Glowinski, Tsorng-Whay Pan, and Jacques Periaux
Chapter 12: Multipole and Precorrected-FFT Accelerated Iterative Methods for Solving Surface Integral Formulations of Three-Dimensional Laplace Problems, K. Nabors, J. Phillips, F.T. Korsmeyer, and J. White
Chapter 13: Linear Scaling Algorithms for Large Scale Electronic Structure Calculations, E.B. Stechel
Chapter 14: Problem Decomposition in Quantum Chemistry, Hans-Joachim Werner
Chapter 15: Bound States of Strongly Coupled Multidimensional Molecular Hamiltonians by the Discrete Variable Representation Approach, Zlatko Bacic
Chapter 16: Wave Operators and Active Subspaces: Tools for the Simplified Dynamical Description of Quantum Processes Involving Many-Dimensional State Spaces, Georges Jolicard and John P. Killingbeck
Chapter 17: Problem Decomposition Techniques in Quantum Mechanical Reactive Scattering, David W. Schwenke and Donald G. Truhlar.
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