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Fall 2017
May 06, 2024
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CSI 876 - Measure and Linear Spaces
Covers measure theory and integration, convergence theorems, and the theory of linear spaces and functional analysis, including normed linear spaces, inner product spaces, Banach and Hilbert spaces, Sobelev spaces, and reproducing kernels. Topics include wavelets, applications to stochastic processes, and nonparametric functional inference.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computational & Data Sciences Department

Course Attributes:
Graduate - Advanced


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