Linear Programming Basics

Related lectures (32)

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Explains the SIMPLEX method for solving linear programs and optimizing the solution through basis variable manipulation.

Covers optimization problems in path finding and portfolio allocation.

Covers the basics of linear programming, defining corners, extreme points, and feasible solutions within polyhedrons.

Explores Linear Programming Duality, covering weak duality, strong duality, Lagrange multipliers interpretation, and optimization constraints.

Explores convex polyhedra, linear programs, and their optimization importance.

Covers classical optimization problems, brute force algorithms, and integer linear optimization.

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

Explores finding the initial Basic Feasible Solution (BFS) in a linear program.

Covers exercises on the Simplex Algorithm, optimizing solutions subject to linear constraints.

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