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Large Scale Scientific Computing

  • P. Deuflhard
  • B. Engquist

Part of the Progress in Scientific Computing book series (PSC, volume 7)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Initial Value Problems for ODE’s and Parabolic PDE’s

  3. Boundary Value Problems for ODE’s and Elliptic PDE’s

    1. Front Matter
      Pages 95-95
    2. P. Deuflhard, B. Fiedler, P. Kunkel
      Pages 97-113
    3. Helmut Jarausch, Wolfgang Mackens
      Pages 114-137
    4. F. K. Hebeker
      Pages 180-193
  4. Hyperbolic PDE Problems

    1. Front Matter
      Pages 195-195
    2. Bjorn Engquist, Ami Harten, Stanley Osher
      Pages 197-208
  5. Inverse Problems

    1. Front Matter
      Pages 233-233
    2. A. K. Louis, R. M. Lewitt
      Pages 235-244
    3. Hermann Kruse, Frank Natterer
      Pages 245-256
  6. Optimization and Optimal Control Problems

    1. Front Matter
      Pages 269-269
    2. Kurt Spielberg, Uwe H. Suhl
      Pages 271-286
    3. W. Bauer, H. Gfrerer, E. Lindner, A. Schwarz, Hj. Wacker
      Pages 307-328
  7. Algorithm Adaptation on Supercomputers

  8. Back Matter
    Pages 387-388

About this book

Introduction

In this book, the new and rapidly expanding field of scientific computing is understood in a double sense: as computing for scientific and engineering problems and as the science of doing such computations. Thus scientific computing touches at one side mathematical modelling (in the various fields of applications) and at the other side computer science. As soon as the mathematical models de­ scribe the features of real life processes in sufficient detail, the associated computations tend to be large scale. As a consequence, interest more and more focusses on such numerical methods that can be expected to cope with large scale computational problems. Moreover, given the algorithms which are known to be efficient on a tradi tional computer, the question of implementation on modern supercomputers may get crucial. The present book is the proceedings of a meeting on "Large Scale Scientific Computing" , that was held a t the Oberwolfach Mathematical Institute (July 14-19, 1985) under the auspices of the Sonderforschungsbereich 123 of the University of Heidelberg. Participants included applied scientists with computational interests, numerical analysts, and experts on modern parallel computers. 'l'he purpose of the meeting was to establish a common under­ standing of recent issues in scientific computing, especially in view of large scale problems. Fields of applications, which have been covered, included semi-conductor design, chemical combustion, flow through porous media, climatology, seismology, fluid dynami. cs, tomography, rheology, hydro power plant optimization, subwil. y control, space technology.

Keywords

Mathematica algorithms boundary element method climatology computer computer science control design field finite element method implementation modelling numerical method scientific computing supercomputer

Editors and affiliations

  • P. Deuflhard
    • 1
  • B. Engquist
    • 2
  1. 1.Konrad-Zuse-Zentrum für InformationstechnikBerlin 31Federal Republic of Germany
  2. 2.Department of MathematicsUniversity of California at Los AngelesLos AngelesUSA

Bibliographic information