Calendar

LEC #	Topics
1	Introduction
2	Unconstrained Optimization - Optimality Conditions
3	Gradient Methods
4	Convergence Analysis of Gradient Methods
5	Rate of Convergence
6	Newton and Gauss - Newton Methods
7	Additional Methods
8	Optimization Over a Convex Set; Optimality Conditions
9	Feasible Direction Methods
10	Alternatives to Gradient Projection
11	Constrained Optimization; Lagrange Multipliers
12	Constrained Optimization; Lagrange Multipliers
13	Inequality Constraints
14	Introduction to Duality
15	Interior Point Methods
16	Penalty Methods
17	Augmented Lagrangian Methods
18	Duality Theory
19	Duality Theorems
20	Strong Duality
21	Dual Computational Methods
22	Additional Dual Methods