Computing Highly Oscillatory Integrals
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2018
- Softcover
- New
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Condition: New
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Highly oscillatory phenomena range across numerous areas in science and engineering and their computation represents a difficult challenge. A case in point is integrals of rapidly oscillating functions in one or more variables. The quadrature of such integrals has been historically considered very demanding. Research in the past 15 years (in which the authors played a major role) resulted in a range of very effective and affordable algorithms for highly oscillatory quadrature. This is the only monograph bringing together the new body of ideas in this area in its entirety.The starting point is that approximations need to be analyzed using asymptotic methods rather than by more standard polynomial expansions. As often happens in computational mathematics, once a phenomenon is understood from a mathematical standpoint, effective algorithms follow. As reviewed in this monograph, we now have at our disposal a number of very effective quadrature methods for highly oscillatory integrals-Filon-type and Levin-type methods, methods based on steepest descent, and complex-valued Gaussian quadrature. Their understanding calls for a fairly varied mathematical toolbox-from classical numerical analysis, approximation theory, and theory of orthogonal polynomials all the way to asymptotic analysis-yet this understanding is the cornerstone of efficient algorithms.…
Seller Inventory # LU-9781611975116
- Title
- Computing Highly Oscillatory Integrals
- Author
- Daan Huybrechs, Arieh Iserles, Alfredo Deaño
- Publisher
- Society for Industrial and Applied Mathematics,U.S., US
- Publication year
- 2018
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1611975115
- ISBN 13
- 9781611975116
- Item weight
- 415 grams
The starting point is that approximations need to be analyzed using asymptotic methods rather than by more standard polynomial expansions. As often happens in computational mathematics, once a phenomenon is understood from a mathematical standpoint, effective algorithms follow. As reviewed in this monograph, we now have at our disposal a number of very effective quadrature methods for highly oscillatory integrals―Filon-type and Levin-type methods, methods based on steepest descent, and complex-valued Gaussian quadrature. Their understanding calls for a fairly varied mathematical toolbox―from classical numerical analysis, approximation theory, and theory of orthogonal polynomials all the way to asymptotic analysis―yet this understanding is the cornerstone of efficient algorithms.
"Synopsis" may belong to another edition of this title.
About the Author
Daan Huybrechs is a Professor at KU Leuven, Belgium, in the section on numerical analysis and applied mathematics (NUMA) in the Department of Computer Science. He is an associate editor of the IMA Journal of Numerical Analysis. His main research interests include oscillatory integrals, approximation theory.
Arieh Iserles recently retired from the Chair in Numerical Analysis of Differential Equations at University of Cambridge. He is the managing editor of Acta Numerica, Editor-in-Chief of IMA Journal of Numerical Analysis and of Transactions of Mathematics and its Applications, and an editor of many other journals and book series. His research interests comprise geometric numerical integration, the computation of highly oscillatory phenomena, computations in quantum mechanics, approximation theory, and the theory of orthogonal polynomials.
"About the title" may belong to another edition of this title.
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