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Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering

Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering

Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering

David E. Keyes, Columbia University, New York
Yousef Saad, University of Minnesota
Donald G. Truhlar, University of Minnesota
January 1987
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Paperback
9780898713480
$43.99
USD
Paperback

    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.

    Product details

    January 1987
    Paperback
    9780898713480
    340 pages
    255 × 176 × 20 mm
    0.585kg
    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.
      Editors
    • David E. Keyes , Columbia University, New York
    • Yousef Saad , University of Minnesota
    • Donald G. Truhlar , University of Minnesota