Kernel-Based Approximation Methods Using MATLAB
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Book Overview In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial bas...
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.
Book Details Format: Hardcover | Pages: 518 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9814630136
FormatHardcover
Pages518
LanguageEnglish
ISBN9814630136
EAN9789814630139
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight2.3 Pounds
Length9.9 Inches
Width6.8 Inches
Height1.4 Inches
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