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- Scrutiny 8 0 14 – Suite Of Web Optimization Tools Download
- Scrutiny 8 0 14 – Suite Of Web Optimization Tools Pdf
Course Meeting Times
Lectures: 2 sessions / week, 1.5 hours / session
Recitations: 1 session / week, 1 hour / session
Course Content
Tuneskit drm audio converter 3 0 30. The course takes a unified view of optimization and covers the main areas of application and the main optimization algorithms. It covers the following topics:
- Linear optimization
- Robust optimization
- Network flows
- Discrete optimization
- Dynamic optimization
- Nonlinear optimization
![Suite Suite](https://insmac.org/uploads/posts/2018-03/1521917728_integrity-pro_03.jpg)
![Tools Tools](https://www.orbitmedia.com/wp-content/uploads/2019/04/cms-pie-chart-1.jpg)
Tools
ILOG AMPL CPLEX User Guide (PDF)
Contains useful AMPL/CPLEX directives
Contains useful AMPL/CPLEX directives
AMPL Tutorial (PDF)
Course Requirements and Grading
Scrutiny 8 0 14 – Suite Of Web Optimization Tools Download
Grades will be determined by performance on the following requirements. Weights are approximate, and class participation is an important tie breaker.
ACTIVITIES | PERCENTAGES |
---|---|
Homework | 30% |
Midterm exam | 30% |
Final exam | 40% |
Scrutiny 8 0 14 – Suite Of Web Optimization Tools Pdf
Calendar
LEC # | TOPICS |
---|---|
1 | Applications of linear optimization |
2 | Geometry of linear optimization |
3-4 | Simplex method |
5-6 | Duality theory |
7 | Sensitivity analysis |
8 | Robust optimization |
9 | Large scale optimization |
10-11 | Network flows |
12 | Applications of discrete optimization |
13 | Branch and bound and cutting planes |
Midterm exam | |
14 | Lagrangean methods |
15 | Heuristics and approximation algorithms |
16 | Dynamic programming |
17 | Applications of nonlinear optimization |
18 | Optimality conditions and gradient methods |
19 | Line searches and Newton's method |
20 | Conjugate gradient methods |
21 | Affine scaling algorithm |
22 | Interior point methods |
23-24 | Semidefinite optimization I |
Final exam |
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