Optimization Techniques

Description

Solution of Ordinary differential Equations, Optimization Models in Operations Research Linear and Non-linear models, Simplex Search for Linear Programming, Duality and Sensitivity in Linear Programming, Multi-objective Optimization and Goal Programming, Unconstrained Nonlinear Programming, Selected Methods for Constrained Nonlinear Programming: Lagrange Multiplier Methods and Penalty and Barrier Methods. New optimization techniques

Program

Artificial Intelligence 132 CRs

Objectives

• - Solve Ordinary differential equations
  - Use mathematical models in which one seeks to minimize or maximize an objective function subject to constraints.
  - Solve linear programming problems.