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.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 251 mm
Breite: 173 mm
Dicke: 13 mm
Gewicht
ISBN-13
978-1-61197-402-7 (9781611974027)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Bengt Fornberg received his PhD from Uppsala University in Sweden. Following positions at the European Organization for Nuclear Research (CERN), the California Institute of Technology, and Exxon Corporate Research, he has been on the faculty of Applied Mathematics at the University of Colorado Boulder since 1995. His research focus is on numerical methods for solving PDEs and computational methodologies for analytic functions. Natasha Flyer received her PhD from the University of Michigan, Ann Arbor. She is a staff scientist at the National Center for Atmospheric Research in Boulder, Colorado. Her research interests include development of computational methods for solar physics and geosciences and hybrid analytical-numerical methods for the solution of PDEs with singularities.
Chapter 1: Brief Summary of Finite Difference Methods
Chapter 2: Brief Summary of Pseudospectral Methods
Chapter 3: Introduction to Radial Basis Functions
Chapter 4: Global RBFs for Solving PDEs
Chapter 5: RBF-Generated FD (RBF-FD) Methods
Chapter 6: Global RBF Applications to Geo-Modeling: Spherical Domains
Chapter 7: RBF-FD Applications to Geo-Modeling: Spherical Domains
Chapter 8: RBF-FD Applications to Geo-Modeling: Limited-Area Domains
Appendix A: Introduction to RBFs via Cubic Splines
Appendix B: Spherical Harmonics
Appendix C: Some Node Distribution Strategies
Appendix D: Cartesian Vector Operators on a Sphere
