Explores strong duality, complementary slackness, economic interpretation, and stochastic problem scenarios in linear programming.
Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Covers the main idea behind the Simplex algorithm and explains the Tableau method for solving linear programming problems.
