TGGS > ECE > 574
Optimization
Mathematical Modelling. Linear programing. Graphical method. Simplex method. Duality. Integer Programming. Greedy Algorithms. Dynamic Programming. Branch and Bound Algorithms. Network Optimization. Non-linear programing. Unconstrained optimization. Gradient Descent. Newton’s method. Constrained optimization. Lagrange Multipliers. KKT Optimality Conditions. Quadratic Programming. Separable Programming.
Credits : 3 (3-0-6)
Pre-Requisites : No
| Course Learning Outcomes (CLOs) : | |
|---|---|
| CLO 1 | formulate real-world problems into corresponding mathematical problems. |
| CLO 2 | apply appropriate optimization techniques to solve the formulated mathematical problems. |
| CLO 3 | apply programming skills to solve optimization problems. |
| CLO1 | CLO2 | CLO3 | |
| ELO 1 | ✓ | ✓ | |
| ELO 2 | ✓ | ✓ | ✓ |
| ELO 3 | ✓ | ✓ | ✓ |
| ELO 4 | ✓ | ✓ | ✓ |
| ELO 5 | ✓ | ✓ | ✓ |
Revision : July 2021 (090245348)
Other Revisions : July 2020