Linear Programming Basics

Related lectures (32)

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

Explores basic solutions in linear constraints and the equivalence with vertices.

Explains linear constraints and the concept of a polyhedron in optimization problems.

Covers the equilibrium conditions in 3D, system isolation, free-body diagrams, and constraints.

Explores identical applications in linear algebra, discussing their representation and implications through examples and equation solving.

Covers sensitivity analysis in linear programming, focusing on optimal solutions and their sensitivities to changes.

Introduces the Simplex Method for optimal decision making in linear programming, covering basic and advanced concepts.

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

Offers a quick review of key linear algebra concepts essential for further topics.

Explores convex sets, their properties, and applications in optimization.