Difference between revisions of "Slides from Lectures and Tutorials"
Jump to navigation
Jump to search
| Line 31: | Line 31: | ||
*** Data file for portfolio model [[Media:portfolio.dat|portfolio.dat]] | *** Data file for portfolio model [[Media:portfolio.dat|portfolio.dat]] | ||
*** Part of Student.mod model file [[Media:part.mod|part.mod]] | *** Part of Student.mod model file [[Media:part.mod|part.mod]] | ||
| − | |||
* '''Day 7: Nonlinear Programming Methods''' | * '''Day 7: Nonlinear Programming Methods''' | ||
| Line 37: | Line 36: | ||
** [[Media:13-IPMs.pdf|Interior-Point and Augmented Lagrangian Methods]] | ** [[Media:13-IPMs.pdf|Interior-Point and Augmented Lagrangian Methods]] | ||
** [[Media:07-tutorial.pdf|Tutorial 7]] | ** [[Media:07-tutorial.pdf|Tutorial 7]] | ||
| − | *** Data | + | *** Data files for sparse optimization [[Media:SparseOpt.dat|SparseOpt.dat]], [[Media:lasso6_20_2.dat|lasso6_20_2.dat]], [[Media:lasso20_100_14.dat|lasso20_100_14.dat]] |
Revision as of 02:28, 19 September 2016
- Day 1: Introduction and Applications of Optimization
- Day 2: Case Study and Methods for Unconstrained Optimization
- Day 3: Newton and Conjugate Gradient Methods
- Day 4: Trust-Region Methods and Bound Constrained Optimization
- Restricted Step Methods
- Methods for Bound Constrained Optimization
- Tutorial 4 new version of the Matlab routines Zip archive with Matlab routines you can modify
- Day 5: Optimality Conditions, Convexity, and Duality
- Day 6: Linear and Quadratic Programming
- Linear Programming
- Quadratic Programming
- Tutorial 6
- Data file for transshipment model network.dat
- Data file for portfolio model portfolio.dat
- Part of Student.mod model file part.mod
- Day 7: Nonlinear Programming Methods
- Sequential Quadratic Programming
- Interior-Point and Augmented Lagrangian Methods
- Tutorial 7
- Data files for sparse optimization SparseOpt.dat, lasso6_20_2.dat, lasso20_100_14.dat