Coping with Uncertainty: Robust Solutions
Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
|
| Ausgabe: | 1st ed. 2010 |
| Schriftenreihe: | Lecture Notes in Economics and Mathematical Systems
633 |
| Schlagworte: | |
| Online-Zugang: | BTU01 UBR01 UBY01 Volltext |
| Zusammenfassung: | Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios. |
| Beschreibung: | 1 Online-Ressource (XVI, 277 p) |
| ISBN: | 9783642037351 |
| DOI: | 10.1007/978-3-642-03735-1 |
Internformat
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| 520 | |a Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios. | ||
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| spelling | Coping with Uncertainty Robust Solutions edited by Kurt Marti, Yuri Ermoliev, Marek Makowski 1st ed. 2010 Berlin, Heidelberg Springer Berlin Heidelberg 2010 1 Online-Ressource (XVI, 277 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Economics and Mathematical Systems 633 Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using "synthetic" information composed of available "hard" data from historical observations, the results of possible experiments, and scientific facts, as well as "soft" data from experts' opinions, and scenarios. Operations Research/Decision Theory Optimization Computational Intelligence Engineering Design Operations research Mathematical optimization Engineering Engineering design Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 2007 Laxenburg gnd-content Mathematisches Modell (DE-588)4114528-8 s Entscheidung bei Unsicherheit (DE-588)4070864-0 s 2\p DE-604 Marti, Kurt 1943- (DE-588)115845690 edt Ermolʹev, Jurij M. (DE-588)1053435037 edt Makowski, Marek (DE-588)170784592 edt Erscheint auch als Druck-Ausgabe 9783642037344 Erscheint auch als Druck-Ausgabe 9783642038051 https://doi.org/10.1007/978-3-642-03735-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Coping with Uncertainty Robust Solutions Operations Research/Decision Theory Optimization Computational Intelligence Engineering Design Operations research Mathematical optimization Engineering Engineering design Mathematisches Modell (DE-588)4114528-8 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4070864-0 (DE-588)1071861417 |
| title | Coping with Uncertainty Robust Solutions |
| title_auth | Coping with Uncertainty Robust Solutions |
| title_exact_search | Coping with Uncertainty Robust Solutions |
| title_full | Coping with Uncertainty Robust Solutions edited by Kurt Marti, Yuri Ermoliev, Marek Makowski |
| title_fullStr | Coping with Uncertainty Robust Solutions edited by Kurt Marti, Yuri Ermoliev, Marek Makowski |
| title_full_unstemmed | Coping with Uncertainty Robust Solutions edited by Kurt Marti, Yuri Ermoliev, Marek Makowski |
| title_short | Coping with Uncertainty |
| title_sort | coping with uncertainty robust solutions |
| title_sub | Robust Solutions |
| topic | Operations Research/Decision Theory Optimization Computational Intelligence Engineering Design Operations research Mathematical optimization Engineering Engineering design Mathematisches Modell (DE-588)4114528-8 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd |
| topic_facet | Operations Research/Decision Theory Optimization Computational Intelligence Engineering Design Operations research Mathematical optimization Engineering Engineering design Mathematisches Modell Entscheidung bei Unsicherheit Konferenzschrift 2007 Laxenburg |
| url | https://doi.org/10.1007/978-3-642-03735-1 |
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