Integer Programming Basics

Related lectures (32)

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

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

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

Covers optimization problems in path finding and portfolio allocation.

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

Explores extreme points in linear programming and the role of constraints in finding optimal solutions.

Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.

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

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

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