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MTHE 434 Optimization Theory with Applications to Machine Learning

MTHE 434  Optimization Theory with Applications to Machine Learning  Units: 3.50  

Theory of convex sets and functions; separation theorems; primal-dual properties; geometric treatment of optimization problems; algorithmic procedures for solving constrained optimization programs; applications of optimization theory to machine learning.

Requirements: MTHE 281, MTHE 212  
Offering Faculty: Fac of Engineering Appl Sci  

Mathematics and Statistics

...Offered jointly with MATH/MTHE 434.) EXCLUSIONS: MTHE 434, MATH 434 MATH 835 Mathematical Biology...