Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Introduces linear programming basics, including optimization problems, cost functions, simplex algorithm, geometry of linear programs, extreme points, and degeneracy.
Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Explores duality in linear programming, strong duality, complementary slackness, and the economic interpretation of dual variables as prices.
Explores duality theorems in linear programming, emphasizing optimal solutions and degeneracies.
