Linear Programming Basics

Related lectures (32)

Page 2 of 4

Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.

Introduces the two-phase simplex algorithm and explores duality in linear programming.

Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.

Explores network flows, simplex method, linear programming, tree solutions, and dual solutions in optimization problems.

Explores duality theorems in linear programming, emphasizing optimal solutions and degeneracies.

Introduces linear programming, optimization, and duality concepts with a focus on the simplex method and practical examples.

Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.

Explores the concept of duality in linear programming, discussing the relationship between primal and dual problems.

Explains the process of finding an initial Basic Feasible Solution for linear optimization problems using the Simplex Algorithm.

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.