Spectral Methods by Jie Shen

Spectral Methods by Jie Shen

Along with finite differences and finite elements, spectral methods are one of the three main methodologies for solving partial differential equations on computers. This book provides a detailed presentation of basic spectral algorithms, as well as a systematical presentation of basic convergence theory and error analysis for spectral methods.

From the reviews:

“This is a largely self-contained book on major parts of the application of spectral methods to the numerical solution of partial differential equations …The material is accessible to … advanced students of mathematics and also to researchers in neighbouring fields wishing to acquire a sound knowledge of methods they might intend to apply.” (H. Muthsam, Monatshefte für Mathematik, Vol. 170 (2), May, 2013)

“This book provides a self-contained presentation for the construction, implementation and analysis of spectral algorithms for some model equations of elliptic, dispersive and parabolic type. … a textbook for graduate students in mathematics and other sciences and engineering. … The book has nine chapters, each of them ending with a small collection of problems.” (Julia Novo, Mathematical Reviews, January, 2013)

“This is a self-contained presentation on the construction, implementation, and analysis of spectral methods for various differential and integral equations, with wide applications in science and engineering. … Every chapter ends with a set of problems for practice. … This excellent and very well-written book could be used as s graduate textbook in mathematics and other engineering disciplines. It would also be a good reference book for active practitioners and researchers of spectral methods.” (Srinivasan Natesan, ACM Computing Reviews, January, 2013)

“The text consists of nine main chapters, with the material naturally separating into two groups. … the text does a very good job at outlining the importance of creativity and analysis in the development of modern computational techniques for complex applications. … I read the text with enjoyment and expect it to be of great value as a reference, in particular for its careful presentation of key analytic results, and as a comprehensive introduction to the more detailed exposition of the authors’ work … .”(Jan S. Hesthaven, SIAM Review, Vol. 55 (2), 2013)

Jie Shen: Ph.D., Numerical Analysis, Universite de Paris-Sud, Orsay, France, 1987; B.S., Computational Mathematics, Peking University, China, 1982.

Professor of Mathematics at Purdue University; Guest Professorships in Shanghai University and Xiamen University; Member of editorial boards for numerous top research journals.

Tao Tang:  Ph.D., Applied Mathematics, University of Leeds, 1989;
Computational Mathematics, Peking University, China, 1984.

Head and  Chair Professor of Hong Kong Baptist University; Cheung Kong Chair  Professor under Ministry of Education of China; Winner of a Leslie Fox Prize in 1988 and a Feng Kang Prize in Scientific Computing in  2003; Member of editorial boards for numerous  top research journals.

Lilian Wang: Ph.D, Computational Mathematics, Shanghai University, China  2000; B.S., Mathematics Education,  Hunan University of Science and Technology, China, 1995.

Assistant Professor of Mathematics,  Nanyang Technological University, Singapore. A  prolific researcher with over twenty research papers in top journals.

SKU	Unavailable
ISBN 13	9783642270970
ISBN 10	3642270972
Title	Spectral Methods
Author	Jie Shen
Series	Springer Series In Computational Mathematics
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer
Year published	2013-11-27
Number of pages	472
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.