A distributionally robust perspective on uncertainty quantification and chance constrained programming
The objective of uncertainty quantification is to certify that a given physical, engineering or economic system satisfies multiple safety conditions with high probability. A more ambitious goal is to actively influence the system so as to guarantee and maintain its safety, a scenario which can be mo...
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| Published in: | Mathematical programming Vol. 151; no. 1; pp. 35 - 62 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.06.2015
Springer Nature B.V |
| Subjects: | |
| ISSN: | 0025-5610, 1436-4646 |
| Online Access: | Get full text |
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