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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

  • 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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About the Authors
  • 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.

  • Editors

    David E. Keyes, Columbia University, New York

    Yousef Saad, University of Minnesota

    Donald G. Truhlar, University of Minnesota

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