Optimization Techniques Lab

Instructions:

1. The course objectives and course outcomes are identical to that of (Optimization Techniques) as this is the practical component of the corresponding theory paper.
2. The practical list shall be notified by the teacher in the first week of the class commencement under intimation to the office of the Head of Department / Institution in which the paper is being offered from the list of practicals below. At least 10 experiments must be performed by the students, they may be asked to do more. 

List of Programs

1. Introduction to optimization techniques.
2. Study of classical optimization techniques.
3. Study and computer implementation of one-dimensional elimination methods to compute optimal solution.
4. Study and computer implementation of one-dimensional interpolation methods to compute optimal solution.
5. Study of one-dimensional interpolation methods to compute optimal solution
6. Derive the expression for quasi-Newton formula using central difference and two point forward difference schemes.
7. Solution approaches for the optimization problems having equality constraints.
8. Solution approaches for the optimization problems having inequality constraints.
9. Create and analyse the working model of simulated annealing
10. Application of Fuzzy optimization technique using a simulation tool.