IENG 735 Advanced Linear Programming

Credits: (3-0) 3

Advanced topics in linear programming and convex optimization including theory, applications, and algorithms. Topics include convex sets and functions, geometry of linear programming, simplex method, duality theory, decomposition methods, interior-point methods, integer programming, and convex optimization. Several applications arising in data science, machine learning, artificial intelligence, and operations research will be discussed.

Prerequisites: ENGM 435/535

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