Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Explores duality in linear programming, strong duality, complementary slackness, and the economic interpretation of dual variables as prices.
Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.
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.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Explores the concept of duality in linear programming, discussing the relationship between primal and dual problems.
Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
