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MATH 667 - Foundations and Methods of Appproximations - Fall 2017

Credits 3. 3 Lecture Hours.

Existence, uniqueness and characterization of best approximations; polynomial and rational approximants; Bernstein polynomials; Bernstein and Markov inequalities; ridge functions; approximation from shift-invariant subspaces; orthogonal polynomials; neural networks, radial basis functions, scattered-data surface fitting; subdivision analysis.
Prerequisites: MATH 407 and MATH 409.

Sections

This course is not taught in Fall 2017.