Solving problems in scientific computing using Maple and MATLAB

著者

書誌事項

Solving problems in scientific computing using Maple and MATLAB

Walter Gander, Jiří Hřebíček

Springer, 2002

3rd, expanded and rev. ed., corr. 2nd print

  • : pbk

大学図書館所蔵 件 / 全1件

この図書・雑誌をさがす

注記

Includes bibliographical references and indexes

内容説明・目次

内容説明

From the reviews: ".. An excellent reference on undergraduate mathematical computing."(American Mathematical Monthly)"...manuals for such systems (Maple and MATLAB) tend to use trivial examples, making it difficult for new users of such systems to quickly apply their power to real problems. The authors have written a good book to address this need...the book is worth buying if you want guidance in applying Maple and MATLAB to problems in the workplace..."(Computing Reviews)".. The presentation is unique, and extremely interesting. I was thrilled to read this text, and to learn the powerful problem-solving skills presented by these authors. I recommend the text highly, as a learning experience, not only to engineering students, but also to anyone interested in computation."(Mathematics of Computation)

目次

1. The Tractrix and Similar Curves.- 2. Trajectory of a Spinning Tennis Ball.- 3. The Illumination Problem.- 4. Orbits in the Planar Three-Body Problem.- 5. The Internal Field in Semiconductors.- 6. Some Least Squares Problems.- 7. The Generalized Billiard Problem.- 8. Mirror Curves.- 9. Smoothing Filters.- 10. The Radar Problem.- 11. Conformal Mapping of a Circle.- 12. The Spinning Top.- 13. The Calibration Problem.- 14. Heat Flow Problems.- 15. Modeling Penetration Phenomena.- 16. Heat Capacity of System of Bose Particles.- 17. Free Metal Compression.- 18. Gauss Quadrature.- 19. Symbolic Computation of Explicit Runge-Kutta Formulas.- 20. Transient Response of a Two-Phase Half-Wave Rectifier.- 21. Circuits in Power Electronics.- 22. Newton's and Kepler's Laws.- 23. Least Squares Fit of Point Clouds.- 24. Modeling Social Processes.- 25. Contour Plots of Analytic Functions.- 26. Non-Linear Least Squares: Finding the Most Accurate Location of an Aircraft.- 27. Computing Plane Sundials.

「Nielsen BookData」 より

詳細情報

ページトップへ