Course Meeting Times
- Scrutiny 8 1 18 – Suite Of Web Optimization Tools Windows 10
- Scrutiny 8 1 18 – Suite Of Web Optimization Tools Pdf
Lectures: 2 sessions / week, 1.5 hours / session
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![Tools Tools](https://i.pcmag.com/imagery/reviews/00F5LnMyGOjRo1yu6Oadv0n-40.1574212793.fit_scale.size_1182x667.jpg)
OR-Tools won three gold medals in the 2020 MiniZinc Challenge, the international constraint programming competition. About OR-Tools OR-Tools is an open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming. WinOptimizer 17 Superior performance, stability and privacy for your PC Windows 10, 8.1, 8, 7. Optimize your PC easily with our 1-click optimization tool and other automatized proceses - run your system maintenance automatically at regular intervals. Quite possibly the most comprehensive Windows optimization suite ever! Lectures: 2 sessions / week, 1.5 hours / session. Recitations: 1 session / week, 1 hour / session. 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. 8 Regression and Regularization 165. 8.1 Sample Mean and Variance 165. 8.2 Regression Analysis 168. 8.2.1 Maximum Likelihood 168. 8.2.2 Regression 168. 8.2.3 Linearization 173. 8.2.4 Generalized Linear Regression 175. 8.2.5 Goodness of Fit 178. 8.3 Nonlinear Least Squares 179. 8.3.1 Gauss–Newton Algorithm 180. 8.3.2 Levenberg–Marquardt.
Recitations: 1 session / week, 1 hour / session
Course Content
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
Tools
ILOG AMPL CPLEX User Guide (PDF)
Contains useful AMPL/CPLEX directives
Contains useful AMPL/CPLEX directives
AMPL Tutorial (PDF)
Course Requirements and Grading
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% |
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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Scrutiny 8 1 18 – Suite Of Web Optimization Tools Windows 10
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