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Explores the concept of duality in linear programming, discussing the relationship between primal and dual problems.
Explores strong duality, complementary slackness, economic interpretation, and stochastic problem scenarios in linear programming.
Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Covers the basics of linear programming and the simplex method, focusing on finding optimal solutions and handling degeneracy.
Introduces the basics of integer programming, including binary integer programs and constraint strategies.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
