Optimization holds an important place in both practical and theoretical worlds, as understanding the timing and magnitude of actions to be carried out helps achieve a goal in the best possible way. This course emphasizes data-driven modeling, theory, and numerical algorithms for optimization with real variables. The course gives a comprehensive foundation for theory, methods, and algorithms of mathematical optimization. The prerequisites are linear algebra and calculus.
Recommended Core Text: Introduction to Management Science-2nd Edition, by Frederick S. Hillier, and Mark S. Hillier
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