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Tutorial on Elliptic PDE Solvers and Their Parallelization illustrated edition [Pehme köide]

  • Formaat: Paperback, 153 pages, kõrgus x laius x paksus: 229x152x8 mm, kaal: 500 g, figures, bibliography, index
  • Sari: Software, Environments and Tools No.16
  • Ilmumisaeg: 01-Jan-1987
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898715415
  • ISBN-13: 9780898715415
  • Formaat: Paperback, 153 pages, kõrgus x laius x paksus: 229x152x8 mm, kaal: 500 g, figures, bibliography, index
  • Sari: Software, Environments and Tools No.16
  • Ilmumisaeg: 01-Jan-1987
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898715415
  • ISBN-13: 9780898715415
A Tutorial on Elliptic PDE Solvers and Their Parallelization is a valuable aid for learning about the possible errors and bottlenecks in parallel computing. One of the highlights of the tutorial is that the course material can run on a laptop, not just on a parallel computer or cluster of PCs, thus allowing readers to experience their first successes in parallel computing in a relatively short amount of time.
This tutorial is intended for advanced undergraduate and graduate students in computational sciences and engineering; however, it may also be helpful to professionals who use PDE-based parallel computer simulations in the field.

Much of the computational research now being conducted in the sciences relies on the discretization of partial differential equation (PDE) models. The authors, professors of computational mathematics and sciences from the U. of Kentucky (US) and Johannes Kepler U. (Austria), introduce the basic concepts of solving PDEs using parallel numerical methods. Discussion of parallel computing and programming is included. The intended audience consists of advanced undergraduate and graduate students in computational sciences and engineering. Annotation (c) Book News, Inc., Portland, OR (booknews.com)
* List of figures* List of algorithms* Abbreviations and notation* Preface*
Chapter 1: Introduction*
Chapter 2: A simple example*
Chapter 3: Introduction to parallelism*
Chapter 4: Galerkin finite element discretization of elliptic partial differential equations*
Chapter 5: Basic numerical routines in parallel*
Chapter 6: Classical solvers*
Chapter 7: Multigrid methods*
Chapter 8: Problems not addressed in this book* Appendix: Internet addresses* Bibliography* Index.
Craig C. Douglas is Professor of Computer Science and Mechanical Engineering and Associate Director of the Center for Computational Sciences at the University of Kentucky. He is also Senior Research Scientist of Computer Science at Yale University. Gundolf Haase is a Professor at the Institute of Computational Mathematics at the Johannes Kepler University of Linz, Austria. Ulrich Langer is Head of the Institute of Computational Mathematics at the Johannes Kepler University of Linz, Austria.