KERNEL-BASED APPROXIMATION METHODS USING MATLAB
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2015
Series: Book 7 of 9 - Interdisciplinary Mathematical Sciences
- Hardcover
- New

Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as strategies to address long-standing problems. Examples are drawn from fields as diverse as function approximation, spatial statistics, boundary value problems, machine learning, surrogate modeling and finance. Researchers from those and other fields can recreate the results within using the documented MATLAB code, also available through the online library. This combination of a strong theoretical foundation and accessible experimentation empowers readers to use positive definite kernels on their own problems of interest.
Seller Inventory # LU-9789814630139
- Title
- KERNEL-BASED APPROXIMATION METHODS USING MATLAB
- Author
- Gregory Fasshauer, Michael McCourt
- Publisher
- World Scientific Publishing Co Pte Ltd, SG
- Publication year
- 2015
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 9814630136
- ISBN 13
- 9789814630139
- Series
- Book 7 of 9: Interdisciplinary Mathematical Sciences
"Synopsis" may belong to another edition of this title.
From the Back Cover
The examples are drawn from fields as diverse as surrogate modeling, machine learning and finance, and researchers from those and other fields will be able to follow the examples on their own machines using the included MATLAB code accessible through the library online.
In combining the theoretical foundation of positive definite kernels with accessible experimentation from which to build on, the authors are empowering readers to use these powerful tools on their problems of interest.
"About the title" may belong to another edition of this title.
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