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Modeling Discrete Optimization
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Learn a new way to approach problem solving by stating the problem and letting powerful constraint solving software do the rest. This class teaches you the art of encoding complex discrete optimization problems in the MiniZinc modeling language and then shows you how to effortlessly solve them by leveraging state-of-the-art open-source constraint solving software. View the MOOC promotional video here: http://tinyurl.com/huyhq2eGet a Reminder
| Rating | Not enough ratings |
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| Length | 5 weeks of study, 5-10 hours per week. The last 2 weeks are optional. |
| Starts | On Demand (Start anytime) |
| Cost | $0 |
| From | The University of Melbourne via Coursera |
| Instructors | Prof. Peter James Stuckey, Dr. Carleton Coffrin |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Mathematics |
| Tags | Computer Science Software Development Math And Logic |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks of study, 5-10 hours per week. The last 2 weeks are optional. |
| Starts | On Demand (Start anytime) |
| Cost | $0 |
| From | The University of Melbourne via Coursera |
| Instructors | Prof. Peter James Stuckey, Dr. Carleton Coffrin |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Mathematics |
| Tags | Computer Science Software Development Math And Logic |
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