Difference between revisions of "Slides from Lectures and Tutorials"
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** [[Media:09-convexity.pdf|Convexity and Duality]] | ** [[Media:09-convexity.pdf|Convexity and Duality]] | ||
** [[Media:05-tutorial.pdf|Tutorial 5]] | ** [[Media:05-tutorial.pdf|Tutorial 5]] | ||
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| + | * '''Day 6: Linear and Quadratic Programming''' | ||
| + | ** [[Media:10-LPs.pdf|Linear Programming]] | ||
| + | ** [[Media:11-QPs.pdf|Quadratic Programming]] | ||
| + | ** [[Media:06-tutorial.pdf|Tutorial 6]] | ||
Revision as of 20:42, 16 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