Description: Kernel-based Approximation Methods Using MatlabAuthor(s): Gregory E Fasshauer, Michael J Mccourt Format: Hardback Publisher: World Scientific Publishing Co Pte Ltd, Singapore Imprint: World Scientific Publishing Co Pte Ltd ISBN-13: 9789814630139, 978-9814630139 Synopsis 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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Book Title: Kernel-based Approximation Methods Using Matlab
Series: Interdisciplinary Mathematical Sciences
Author: Michael J Mccourt, Gregory E Fasshauer
Publication Name: Kernel-Based Approximation Methods Using Matlab
Format: Hardcover
Language: English
Publisher: World Industries Scientific Publishing
Subject: Mathematics
Publication Year: 2015
Type: Textbook
Number of Pages: 536 Pages
