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Mathematics Courses

Topics in Analysis

Mathematics And Statistics 523 - Spring 2019

Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This course will offer a unified overview providing detailed examples of applications, as well as covering the fundamental underlying theory, including chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. Prerequisites: 4111-4112. Suggested: 5051-52.
Course Attributes:

Section 01

Topics in Analysis
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