The Transhipment Problem: Total Unimodularity

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

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

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

Covers the linear optimization problem of the transhipment model.

Explores the Branch and Bound algorithm in discrete optimization, efficiently finding optimal solutions by calculating lower bounds on subsets.

Covers integer programming, convex hulls, Gomory cutting planes, and branch and bound methods.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

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

Covers optimization problems in path finding and portfolio allocation.

Explores network flows, simplex method, linear programming, tree solutions, and dual solutions in optimization problems.