Course information

Optimization Techniques deals with methods for finding the best possible solution to decision-making problems. It covers Linear Programming, Integer Programming, Goal Programming, Network problems, and Non-Linear Programming, including methods such as the Simplex method, Branch and Bound, network flow techniques, and Kuhn–Tucker conditions. The course focuses on applying these techniques to maximize or minimize an objective function subject to given constraints