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Sinc Methods for Quadrature and Differential Equations

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John Lund and Kenneth L. Bowers


1992 / x + 304 pages / Hardcover / ISBN-13: 978-0-898712-98-8 / ISBN-10: 0-89871-298-X / 
List Price $91.50 / SIAM Member Price $64.05 / Order Code OT32

"This text illustrates the use of Sinc methods for solving differential equation boundary value problems. Sinc methods are not yet as popular as finite difference or finite element methods, mainly because they are less well understood. The present easy-to-understand Lund-Bowers text should go a long way towards making Sinc methods more popular. . . . The book contains easy-to-understand theorems, many well-selected examples, as well as exercises and illustrations--all designed to make it easy for the student and user to understand Sinc methods for solving differential equations." -- Frank Stenger, SIAM Review, Vol. 35, No. 4, December 1993.

"The book gives an elementary development of the methods, provides a good survey of the theory about sinc functions, and is completed by a detailed list of references." -- Reinhard Scholz, Mathematical Reviews, Issue 93i

"The aim of this well written and clearly printed book is to show how to exploit as fully as possible the potential of the [sinc] method. . . . Anyone who wishes to look into the sinc method more closely will find a large number of references at the end of each chapter, while the student who wants to learn about the method will find the book a readily accessible account of it." -- J.D.P. Donnelly, Zentrablatt fur Mathematik, pre753, page 53.

"This book is well written. The inclusion of proofs in the early chapters, and problems throughout the text, allows it to be used in a graduate-level special topics course. This text also includes over 60 references. Many of these references are to research papers describing the application of sinc methods to approximation, quadrature, and the solution of ordinary and partial differential equations." -- W. Ferguson, Computing Reviews, April 1993

Here is an elementary development of the Sinc-Galerkin method with the focal point being ordinary and partial differential equations. This is the first book to explain this powerful computational method for treating differential equations. These methods are an alternative to finite difference and finite element schemes, and are especially adaptable to problems with singular solutions. The text is written to facilitate easy implementation of the theory into operating numerical code.

The authors' use of differential equations as a backdrop for the presentation of the material allows them to present a number of the applications of the sinc method. Many of these applications are useful in numerical processes of interest quite independent of differential equations. Specifically, numerical interpolation and quadrature, while fundamental to the Galerkin development, are useful in their own right.

The intimate connection between collocation and Galerkin for the sinc basis is exposed via sinc-interpolation. The quadrature rules define a class of numerical integration methods that complement better known techniques, which in the case of singular integrands, often require modification. The sinc methodology of the text is illustrated on such applications as initial data recovery, heat diffusion, advective-diffusive transport, and Burgers' equation, to illustrate the numerical implementation of the theory discussed.

Engineers may find sinc methods a very competitive approach to the more common boundary element or finite element methods. Further, workers in the signal processing community may find this particular approach a refreshingly different view of the use of sinc functions.

Sinc approximation is a relatively new numerical technique. This book provides a much needed elementary level explanation. It has been used for graduate numerical classes at Montana State University and Texas Tech University.

Chapter 1: Preliminary Material; Chapter 2: Numerical Methods on the Real Line; Chapter 3: Numerical Methods on an Arc "Gamma"; Chapter 4: The Sinc-Galerkin Method; Chapter 5: Steady Problems; Chapter 6: Time-Dependent Problems; Appendix A: Linear Algebra; References.


ISBN: 9780898712988

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