Optimization Techniques is designed for undergraduate, postgraduate and research students. The book examines the application of optimization techniques, classical optimization techniques, formulation of linear programming problems, solution by graphical and simplex method of linear programming problems, artificial techniques; the big method, the two-phase method, duality of linear programming problems, sensitivity analysis, assignment and transportation problems, sequencing problems, project scheduling; CPM and PERT, dynamic programming problems, and non-linear programming (constrained and unconstrained search techniques).