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| CSI 876 - Measure and Linear Spaces |
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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 Restrictions: Must be enrolled in one of the following Levels: Graduate |
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