Covers the proof of strong duality in optimization problems and provides examples of Rayleigh quotient optimization.
Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Covers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.
Explores the concept of duality in linear programming, discussing the relationship between primal and dual problems.
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 the Legendre transform, duality in convex analysis, and optimization problems.
