Kernel-Based Approximation Methods Using MATLAB
Gregory E. Fasshauer, Illinois Institute of Technology;
Michael McCourt, University of Colorado
World Scientific Publishing Co., 2016
ISBN: 978-981-4630-13-9 ;
Language: English
Written for application scientists and graduate students, Kernel-Based Approximation Methods Using MATLAB 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.
Users can recreate results using the documented MATLAB code, also available through the online library.
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