Temple University 3 credits MSOM
We will introduce linear programming and integer programming methods in this course. This course will cover how to model large-size problems using linear programming and integer programming and solve them using solvers such as CPLEX. In this course, we will also discuss various research papers with applications of linear programming and integer programming models. This class will also cover the theory and applications of combinatorial optimization. We will introduce graphical and network modeling of problems in transportation and distribution, facility location, communication, scheduling, and staff assignment. Topics include minimum cost spanning trees, the greedy algorithm and matroid theory, network flows, maximal matching, vehicle routing algorithms, computational complexity, total dual integrality, and polyhedral combinatorics.
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