Explores duality in linear programming, strong duality, complementary slackness, and the economic interpretation of dual variables as prices.
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Explores strong duality, complementary slackness, economic interpretation, and stochastic problem scenarios in linear programming.
Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.
Covers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.
