Linear Programming Basics

Related lectures (32)

Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.

Explores the concept of duality in linear programming and its practical implications in optimization.

Explores certificates, proving solution existence, constraints, and linear programming duality.

Explores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.

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

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

Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.

Explores stress tensors and the divergence theorem in deformable bodies through examples and demonstrations.

Explores separating hyperplanes for two sets X and Y, discussing conditions for separation and implications of convexity.

Covers the transhipment problem, optimal solutions, and total unimodularity in matrices.

Covers the structure of finite dimensional algebras and the characterization of semisimple algebras.

Explores linear dependence of vectors, demonstrating examples and conditions for collinearity.

Page 2 of 2