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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Kernel-Based Approximation Methods Using MATLAB

Kernel-Based Approximation Methods Using MATLAB

Fasshauer Gregory

Hardcover

Series: Interdisciplinary Mathematical Sciences, Book 19

General MathematicsProbability & Statistics

ISBN10: 9814630136
ISBN13: 9789814630139
Publisher: World Scientific Publishing Company
Published: Aug 10 2015
Pages: 536
Weight: 2.30
Height: 1.40 Width: 6.80 Depth: 9.90
Language: English
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.

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