MA 572
Intro to Optimization
Lec A and Tut T1 selected
Linear programming algorithms, duality theory and post-optimum sensitivity analysis. Integer programming. Deterministic and stochastic dynamic programming. Kuhn-Tucker conditions for optimality. Quadratic programming. Non-linear programming. Network optimization. Modeling and applications. <br> <br><font color="crimson">
Sections
Lecture
Lec A
Tue, Thu 13:00-14:20
Tutorial
Tut T1
Fri 13:00-14:20
Syllabus
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