Covers weak and strong duality in optimization problems, focusing on Lagrange multipliers and KKT conditions.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.
Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
