Kernel-based Approximation Methods Using Matlab by Gregory E. Fasshauer (English
94,18 €
Examples are drawn from fields as diverse as function approximation, spatial statistics, boundary value problems, machine learning, surrogate modeling and finance. Positive Definite Kernels and Radial Basis Functions; Reproducing Kernel Hilbert Spaces; Kriging; Green's Kernels; Generalized Sobolev Spaces; Alternate and Stable Interpolation Bases; Kernel Optimization; Examples in: Scattered Data Fitting, Surrogate Modeling, Spatial Statistics, Machine Learning, Boundary Value Problems, Finance;.
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