A primer on radial basis functions with applications to the geosciences
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Author
Contributions
- Flyer, Natasha - Contributor
Publication
2015 - Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania
Language
English
Word Count
55,250 words, Guess
Page Count
221 pages
Identifiers
- Open LibraryOL30396614M
- ISBN-139781611974027
- OCLC Control Number919539534
- OCLC Control Number910936131
- Internet Archiveprimeronradialba0000forn
and 1 more
- Library of Congress Control Number2015022855
Classifications
- DDC512.7/3
- LCCQA223 .F67 2015
- LCCQA223.F67 2015
and 1 more
- LCCQA223 .F67 2015eb
Description
Adapted from a series of lectures given by the authors, this monograph focuses on radial basis functions (RBFs), a powerful numerical methodology for solving PDEs to high accuracy in any number of dimensions. This method applies to problems across a wide range of PDEs arising in fluid mechanics, wave motions, astro- and geosciences, mathematical biology, and other areas and has lately been shown to compete successfully against the very best previous approaches on some large benchmark problems. Using examples and heuristic explanations to create a practical and intuitive perspective, the authors address how, when, and why RBF-based methods work. The authors trace the algorithmic evolution of RBFs, starting with brief introductions to finite difference (FD) and pseudospectral (PS) methods and following a logical progression to global RBFs and then to RBF-generated FD (RBF-FD) methods. The RBF-FD method, conceived in 2000, has proven to be a leading candidate for numerical simulations in an increasingly wide range of applications, including seismic exploration for oil and gas, weather and climate modeling, and electromagnetics, among others. This is the first survey in book format of the RBF-FD methodology and is suitable as the text for a one-semester first-year graduate class.
Subjects
Topics
Series Statement
- CBMS-NSF regional conference series in applied mathematics -- 87
Other Editions
- A primer on radial basis functions with applications to the geosciences
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