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A primer on radial basis functions with applications to the geosciences / Bengt Fornberg, Natasha Flyer.

By: Contributor(s): Series: CBMS-NSF regional conference series in applied mathematics ; 87.Publisher: Philadelphia : Society for Industrial and Applied Mathematics, [2015]Description: x, 221 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781611974027
  • 161197402X
Subject(s): LOC classification:
  • QA223 .F67 2015
Contents:
1. Brief summary of finite difference methods -- 2. Brief summary of pseudospectral methods -- 3. Introduction to radial basis functions -- 4. Global RBFs for solving PDEs -- 5. RBF-generated FD (RBF-FD) methods -- 6. Global RBF applications to geo-modeling: spherical domains -- 7. RBF-FD applications to geo-modeling: spherical domains -- 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.
Abstract: 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.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Mesa Lab QA223 .F67 2015 1 Available 50583020003004
Total holds: 0

Includes bibliographical references (pages 201-218) and index.

1. Brief summary of finite difference methods -- 2. Brief summary of pseudospectral methods -- 3. Introduction to radial basis functions -- 4. Global RBFs for solving PDEs -- 5. RBF-generated FD (RBF-FD) methods -- 6. Global RBF applications to geo-modeling: spherical domains -- 7. RBF-FD applications to geo-modeling: spherical domains -- 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.

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.

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