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Search: subject:"Copositive programming"
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Mathematical programming
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Mathematische Optimierung
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Robustes Verfahren
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copositive programming
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distributionally robust optimization
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semidefinite programming
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Copositive programming
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Wasserstein metric
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decomposition algorithm
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minimum volume ellipsoids
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piecewise decision rules
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quadratic programming
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random recourse
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robust optimization
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two-stage decision problems
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Hanasusanto, Grani A.
4
Mittal, Areesh
2
Burer, Samuel
1
Fan, Xiangyi
1
Gokalp, Can
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Kuhn, Daniel
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Xu, Guanglin
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Operations research
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Computational Management Science : CMS
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INFORMS journal on computing : JOC
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INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
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ECONIS (ZBW)
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A decision rule approach for two-stage data-driven distributionally robust optimization problems with random recourse
Fan, Xiangyi
;
Hanasusanto, Grani A.
- In:
INFORMS journal on computing : JOC ; charting new …
36
(
2024
)
2
,
pp. 526-542
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014532310
Saved in:
2
Finding minimum volume circumscribing ellipsoids using generalized
copositive
programming
Mittal, Areesh
;
Hanasusanto, Grani A.
- In:
Operations research
70
(
2022
)
5
,
pp. 2867-2882
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014307138
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3
Robust quadratic programming with mixed-integer uncertainty
Mittal, Areesh
;
Gokalp, Can
;
Hanasusanto, Grani A.
- In:
INFORMS journal on computing : JOC
32
(
2020
)
2
,
pp. 201-218
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012242663
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4
Conic programming reformulations of two-stage distributionally robust linear programs over Wasserstein balls
Hanasusanto, Grani A.
;
Kuhn, Daniel
- In:
Operations research
66
(
2018
)
3
,
pp. 849-869
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011884332
Saved in:
5
A data-driven distributionally robust bound on the expected optimal value of uncertain mixed 0-1 linear programming
Xu, Guanglin
;
Burer, Samuel
- In:
Computational Management Science : CMS
15
(
2018
)
1
,
pp. 111-134
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011860879
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