Exploiting Structure in Non-Convex Quadratic Optimization and Gas Network Planning under Uncertainty.
Long description: The amazing success of computational mathematical optimization over the last decades has been driven more by insights into mathematical structures than by the advance of computing technology. In this vein, Jonas Schweiger addresses applications, where nonconvexity in the model and...
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| Online Access: |
Full text (Emerson users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin :
Logos Verlag Berlin,
2018.
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| Subjects: |
| Summary: | Long description: The amazing success of computational mathematical optimization over the last decades has been driven more by insights into mathematical structures than by the advance of computing technology. In this vein, Jonas Schweiger addresses applications, where nonconvexity in the model and uncertainty in the data pose principal difficulties. In the first part, he contributes strong relaxations for non-convex problems such as the non-convex quadratic programming and the Pooling Problem. In the second part, he contributes a robust model for gas transport network extension and a custom decomposition approach. All results are backed by extensive computational studies. |
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| Physical Description: | 1 online resource (206 pages) |
| ISBN: | 9783832590949 3832590943 |