Introduces the basics of integer programming, including binary integer programs and constraint strategies.
Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Covers optimization problems, minimal packing, and bounds in Integer Optimization.
