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Spectral Methods in MATLAB illustrated edition [Pehme köide]

  • Formaat: Paperback / softback, 181 pages, kõrgus x laius x paksus: 254x177x12 mm, kaal: 335 g, figures
  • Sari: Software Environments and Tools 10
  • Ilmumisaeg: 31-Jul-2000
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898714656
  • ISBN-13: 9780898714654
  • Formaat: Paperback / softback, 181 pages, kõrgus x laius x paksus: 254x177x12 mm, kaal: 335 g, figures
  • Sari: Software Environments and Tools 10
  • Ilmumisaeg: 31-Jul-2000
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898714656
  • ISBN-13: 9780898714654
A hands-on introduction to spectral methods in MATLAB, built around 40 short and powerful MATLAB programs available on a Web site. Presents keys ideas, examples, and programs covering ODE and PDE boundary value problems, eigenvalues and pseudospectra, linear and nonlinear waves, and numerical quadrature. For advanced undergraduate and graduate students studying numerical methods for PDEs, as well as numerical analysts, engineers, and computationally oriented physical scientists. Assumes exposure to linear algebra, PDEs at the practical level, and MATLAB. The author teaches numerical analysis at Oxford University. Annotation c. Book News, Inc., Portland, OR (booknews.com)

This is the only book on spectral methods built around MATLAB programs. Along with finite differences and finite elements, spectral methods are one of the three main technologies for solving partial differential equations on computers. Since spectral methods involve significant linear algebra and graphics they are very suitable for the high level programming of MATLAB. This hands-on introduction is built around forty short and powerful MATLAB programs, which the reader can download from the World Wide Web. This book presents the key ideas along with many figures, examples, and short, elegant MATLAB programs for readers to adapt to their own needs. It covers ODE and PDE boundary value problems, eigenvalues and pseudospectra, linear and nonlinear waves, and numerical quadrature.

Arvustused

A brief, intuitive, and excellent introductory textbook of spectral methods. Readers with basic experience of finite difference methods can easily get to the core knowledge of spectral methods through this book. Those MATLAB scripts for examples in the book are very useful for both teaching and research.""- Tzyy-Leng Allen Horng, Feng Chia University, Taiwan;

""This book is a very nice addition to the collection of books on spectral methods, from a totally different angle. It should attract more students and researchers to the powerful spectral methods.""- Chi-Wang Shu, Mathematics of Computation;

""What a great book! I sat down to read through it last month, and it's so inspiringly lean with such great examples that I can't resist using it this term for 18.336 [ Numerical Methods for PDEs].""- Peter Mucha, Massachusetts Institute of Technology;

""This is a charming book, beautifully written, easy to understand without sacrificing accuracy. The idea of using MATLAB is brilliant and will appeal to the students and the other readers.""- David Gottlieb, Brown University;

""Fascinating mathematics, intriguing graphics, and beautiful MATLAB codes.""- Cleve Moler, Chairman and Chief Scientist, The MathWorks, Inc.;

""The book's succinct style and the understanding that is gained by parsing and experimenting with MATLAB routines allow for a large number of fundamental concepts to be conveyed in a few pages... I recommend this book highly; it is clear, concise, and dense with interesting and exciting examples. It is an appropriate text for an introductory class on the subject and also includes many ideas and explanations that are appealing to a broader research audience.""- SIAM Review

Preface ix
Acknowledgments xiii
A Note on the MATLAB Programs xv
Differentiation Matrices
1(8)
Unbounded Grids: The Semidiscrete Fourier Transform
9(8)
Periodic Grids: The DFT and FFT
17(12)
Smoothness and Spectral Accuracy
29(12)
Polynomial Interpolation and Clustered Grids
41(10)
Chebyshev Differentiation Matrices
51(10)
Boundary Value Problems
61(14)
Chebyshev Series and the FFT
75(12)
Eigenvalues and Pseudospectra
87(14)
Time-Stepping and Stability Regions
101(14)
Polar Coordinates
115(10)
Integrals and Quadrature Formulas
125(10)
More about Boundary Conditions
135(10)
Fourth-Order Problems
145(8)
Afterword 153(2)
Bibliography 155(6)
Index 161


Lloyd N. Trefethen is Professor of Numerical Analysis at Oxford University, UK. His previous book, Numerical Linear Algebra (with David Bau, III) is one of SIAM's bestsellers.