Network Flows and LP Formulations

Related lectures (32)

Page 1 of 4

Introduces the Simplex algorithm for solving flow problems and handling negative cost cycles.

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

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Covers the process of solving Linear Programs (LPs) using the simplex method.

Covers semi-definite programming and optimization over positive semidefinite cones.

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

Explores the formulation of the auxiliary problem in linear optimization and its role in optimal decision-making.

Explores duality in linear programming, strong duality, complementary slackness, and the economic interpretation of dual variables as prices.

Covers optimization problems in path finding and portfolio allocation.