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Dec 21, 2024
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2022-2023 Graduate Catalog [ARCHIVED CATALOG]
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MATH 607 - Vector Space Methods in System Optimization
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
An introduction to algebraic and functional analysis concepts used in systems modeling and optimization: vector spaces, linear mappings, spectral decompositions, adjoins, orthogonal projections, duality, fixed points and differentials, with additional emphasis on least squares estimations, minimum norm problems in Banach spaces, linearization in Hilbert space, iterative solutions of systems of equations, and optimization problems.
Prerequisite: MATH 241 and MATH 521
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