MAP 4202 - Optimization Theory

Credits: 3

Prerequisites: MAP 4102 - Probability and Stochastic Processes
Course Description:

This course will focus on problem formulation, software technologies and analytical methods for optimization serving as an introduction to a wide variety of optimization problems and techniques including linear and nonlinear programming, dynamic programming, network flows, integer programming, heuristic approaches, Markov chains, game theory, and decision analysis.

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