Editors:
- Illustrates the application of integral methods to diverse problems in mathematics, physics, biology, and engineering
- Chapters written by a diverse group of well-established scientists Applicable to a broad range of special subjects, including deformable structures, fluid dynamics, medical imaging, and energy analysis
- Useful for an interdisciplinary audience of graduate students, researchers, and professionals across mathematics and the sciences
- Includes supplementary material: sn.pub/extras
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Table of contents (37 chapters)
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Front Matter
About this book
An enormous array of problems encountered by scientists and engineers are based on the design of mathematical models using many different types of ordinary differential, partial differential, integral, and integro-differential equations. Accordingly, the solutions of these equations are of great interest to practitioners and to science in general. Presenting a wealth of cutting-edge research by a diverse group of experts in the field, Integral Methods in Science and Engineering: Computational and Analytic Aspects gives a vivid picture of both the development of theoretical integral techniques and their use in specific science and engineering problems.
This book will be valuable for researchers in applied mathematics, physics, and mechanical and electrical engineering. It will likewise be a useful study guide for graduate students in these disciplines, and for various other professionals who use integration as an essential technique in their work.
Editors and Affiliations
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, Department of Mathematical and Computer, The University of Tulsa, Tulsa, USA
Christian Constanda
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School of Computing, Engineering, and Ma, University of Brighton, Brighton, United Kingdom
Paul J. Harris
Bibliographic Information
Book Title: Integral Methods in Science and Engineering
Book Subtitle: Computational and Analytic Aspects
Editors: Christian Constanda, Paul J. Harris
DOI: https://doi.org/10.1007/978-0-8176-8238-5
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-0-8176-8237-8Published: 25 July 2011
eBook ISBN: 978-0-8176-8238-5Published: 25 July 2011
Edition Number: 1
Number of Pages: XXVI, 422
Number of Illustrations: 98 b/w illustrations
Topics: Integral Equations, Mathematical and Computational Engineering, Ordinary Differential Equations, Partial Differential Equations, Solid Mechanics, Computational Mathematics and Numerical Analysis