Dual polyhedron

Related lectures (22)

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Covers the basics of linear programming and the simplex method, focusing on finding optimal solutions and handling degeneracy.

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

Covers the basics of linear optimization, including equations, polyhedrons, feasible directions, and optimal solutions.

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

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

Covers linear programming duality and complementary slackness condition.

Delves into topology, homomorphism, and their practical implications on CAD software.

Explores polynomial expansion, high-dimensional spaces, Cover's Theorem, Lagrangian formulation, and practical SVM applications.

Explores surfaces with constant curvature, rules between geometric elements, and the generation of sections in geometry.