Algorithms for mixed-integer bilevel problems with convex followers
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| Sprache: | English |
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Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2021
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Datensatz im Suchindex
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| language | English |
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| physical | 1 Online-Ressource Illustrationen, Diagramme |
| psigel | ebook |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Friedrich-Alexander-Universität Erlangen-Nürnberg |
| record_format | marc |
| spellingShingle | Kleinert, Thomas Algorithms for mixed-integer bilevel problems with convex followers Algorithmus (DE-588)4001183-5 gnd Gemischt-ganzzahlige Optimierung (DE-588)4156566-6 gnd 4\p Algorithms (DLC)sh85003487 http://id.loc.gov/authorities/subjects/sh85003487 lcsh |
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| title | Algorithms for mixed-integer bilevel problems with convex followers |
| title_alt | Algorithmen für gemischt-ganzzahlige zweistufige Optimierungsprobleme mit konvexer unterer Stufe |
| title_auth | Algorithms for mixed-integer bilevel problems with convex followers |
| title_exact_search | Algorithms for mixed-integer bilevel problems with convex followers |
| title_full | Algorithms for mixed-integer bilevel problems with convex followers vorgelegt von Thomas Kleinert |
| title_fullStr | Algorithms for mixed-integer bilevel problems with convex followers vorgelegt von Thomas Kleinert |
| title_full_unstemmed | Algorithms for mixed-integer bilevel problems with convex followers vorgelegt von Thomas Kleinert |
| title_short | Algorithms for mixed-integer bilevel problems with convex followers |
| title_sort | algorithms for mixed integer bilevel problems with convex followers |
| topic | Algorithmus (DE-588)4001183-5 gnd Gemischt-ganzzahlige Optimierung (DE-588)4156566-6 gnd 4\p Algorithms (DLC)sh85003487 http://id.loc.gov/authorities/subjects/sh85003487 lcsh |
| topic_facet | Algorithmus Gemischt-ganzzahlige Optimierung Algorithms Hochschulschrift |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-162259 https://d-nb.info/1232075817/34 https://open.fau.de/handle/openfau/16225 |
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