Explores the concept of duality in linear programming, discussing the relationship between primal and dual problems.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
