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Solving Problems in Scientific Computing Using Maple and Matlab®

  • Book
  • © 1993

Overview

Authors:
  1. Walter Gander

    1. Institute of Scientific Computing, ETH Zürich, Zürich, Switzerland

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  2. Jiří Hřebíček

    1. Institute of Physics and Electronics, University of Agriculture and Forestry Brno, Brno, Czech Republic

    View author publications

    You can also search for this author in PubMed   Google Scholar

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. The Tractrix and Similar Curves

    • W. Gander, J. Hřebíček, S. Bartoň
    Pages 1-14

  3. Trajectory of a Spinning Tennis Ball

    • F. Klvaňa
    Pages 15-23

  4. The Illumination Problem

    • S. Bartoň, D. Gruntz
    Pages 25-35

  5. Orbits in the Planar Three-Body Problem

    • D. Gruntz, J. Waldvogel
    Pages 37-57

  6. The Internal Field in Semiconductors

    • F. Klvaňa
    Pages 59-67

  7. Some Least Squares Problems

    • W. Gander, U. von Matt
    Pages 69-87

  8. The Generalized Billiard Problem

    • S. Bartoň
    Pages 89-107

  9. Mirror Curves

    • S. Bartoň
    Pages 109-120

  10. Smoothing Filters

    • W. Gander, U. von Matt
    Pages 121-139

  11. The Radar Problem

    • S. Bartoň, I. Daler
    Pages 141-151

  12. Conformal Mapping of a Circle

    • H. J. Halin
    Pages 153-159

  13. The Spinning Top

    • F. Klvaňa
    Pages 161-171

  14. The Calibration Problem

    • J. Buchar, J. Hřebíček
    Pages 173-182

  15. Heat Flow Problems

    • S. Bartoň, J. Hřebíček
    Pages 183-191

  16. Penetration of a Long Rod into a Semi-infinite Target

    • J. Buchar, J. Hřebíček
    Pages 193-202

  17. Heat Capacity of System of Bose Particles

    • F. Klvaňa
    Pages 203-210

  18. Compression of a Metal Disk

    • S. Bartoň
    Pages 211-219

  19. Gauss Quadrature

    • U. von Matt
    Pages 221-249

  20. Symbolic Computation of Explicit Runge-Kutta Formulas

    • D. Gruntz
    Pages 251-266
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Keywords

About this book

Modern computing tools like Maple (symbolic computation) and Matlab (a numeric computation and visualization program) make it possible to easily solve realistic nontrivial problems in scientific computing. In education, traditionally, complicated problems were avoided, since the amount of work for obtaining the solutions was not feasible for the students. This situation has changed now, and the students can be taught real-life problems that they can actually solve using the new powerful software. The reader will improve his knowledge through learning by examples and he will learn how both systems, MATLAB and MAPLE, may be used to solve problems interactively in an elegant way. Readers will learn to solve similar problems by understanding and applying the techniques presented in the book. All programs used in the book are available to the reader in electronic form.

Authors and Affiliations

  • Institute of Scientific Computing, ETH Zürich, Zürich, Switzerland

    Walter Gander

  • Institute of Physics and Electronics, University of Agriculture and Forestry Brno, Brno, Czech Republic

    Jiří Hřebíček

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