<p>From the reviews:</p><p>“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)</p><p>“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)</p><p>“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)</p><p>“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)</p>
Produktdetaljer
Biographical note
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.