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Optimization Methods (SMA 5213) >> Content Detail



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This course is divided into 5 segments, as described below.

lec #TOPICS
Linear Optimization
1Introduction
2The Geometry of LO
3The Simplex Method
4The Simplex Method II
5Duality Theory I
6Duality Theory II
7Sensitivity Analysis
8Robust Optimization
9Large Scale Optimization
Network Flows
10Network Optimization - Introduction and Applications
11Network Optimization - The Network Simplex Algorithm
Discrete Optimization
12Discrete Optimization
13Exact Methods for IP
14Lagrangean Methods
15Heuristic Methods
Dynamic Optimization
16Dynamic Programming
Nonlinear Optimization
17Applications of Nonlinear Optimization
18Optimality Conditions and Gradient Methods for Unconstrained Optimization
19Line Searches and Newton's Method
20The Conjugate Gradient Algorithm Optimality Conditions for Constrained Optimization
21The Affine Scaling Algorithm
22Barrier Interior Point Algorithms
23Semidefinite Optimization
24Semidefinite Optimization (cont.)

 








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