2 Search Results for "Schultz, Rüdiger"

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05031 Abstracts Collection – Algorithms for Optimization with Incomplete Information

Authors: Susanne Albers, Rolf H. Möhring, Georg Ch. Pflug, and Rüdiger Schultz

Published in: Dagstuhl Seminar Proceedings, Volume 5031, Algorithms for Optimization with Incomplete Information (2005)

Abstract

From 16.01.05 to 21.01.05, the Dagstuhl Seminar 05031 ``Algorithms for Optimization with Incomplete Information'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

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Susanne Albers, Rolf H. Möhring, Georg Ch. Pflug, and Rüdiger Schultz. 05031 Abstracts Collection – Algorithms for Optimization with Incomplete Information. In Algorithms for Optimization with Incomplete Information. Dagstuhl Seminar Proceedings, Volume 5031, pp. 1-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{albers_et_al:DagSemProc.05031.1,
  author =	{Albers, Susanne and M\"{o}hring, Rolf H. and Pflug, Georg Ch. and Schultz, R\"{u}diger},
  title =	{{05031 Abstracts Collection  – Algorithms for Optimization with Incomplete Information}},
  booktitle =	{Algorithms for Optimization with Incomplete Information},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5031},
  editor =	{Susanne Albers and Rolf H. M\"{o}hring and Georg Ch. Pflug and R\"{u}diger Schultz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05031.1},
  URN =		{urn:nbn:de:0030-drops-1948},
  doi =		{10.4230/DagSemProc.05031.1},
  annote =	{Keywords: Online optimization , robust optimization , stochastic programming , stochastic scheduling}
}

Document

DOI: 10.4230/DagSemProc.05031.2

05031 Summary – Algorithms for Optimization with Incomplete Information

Authors: Susanne Albers, Rolf H. Möhring, Georg Ch. Pflug, and Rüdiger Schultz

Published in: Dagstuhl Seminar Proceedings, Volume 5031, Algorithms for Optimization with Incomplete Information (2005)

Abstract

This paper summarizes the objectives and structure of a seminar with the same title, held from January 16th to 21th 2005 at Schloss Dagstuhl, Germany

Cite as

Susanne Albers, Rolf H. Möhring, Georg Ch. Pflug, and Rüdiger Schultz. 05031 Summary – Algorithms for Optimization with Incomplete Information. In Algorithms for Optimization with Incomplete Information. Dagstuhl Seminar Proceedings, Volume 5031, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{albers_et_al:DagSemProc.05031.2,
  author =	{Albers, Susanne and M\"{o}hring, Rolf H. and Pflug, Georg Ch. and Schultz, R\"{u}diger},
  title =	{{05031 Summary – Algorithms for Optimization with Incomplete Information}},
  booktitle =	{Algorithms for Optimization with Incomplete Information},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5031},
  editor =	{Susanne Albers and Rolf H. M\"{o}hring and Georg Ch. Pflug and R\"{u}diger Schultz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05031.2},
  URN =		{urn:nbn:de:0030-drops-1138},
  doi =		{10.4230/DagSemProc.05031.2},
  annote =	{Keywords: Online Optimization , Robust Optimization , Stochastic Programming , Stochastic Scheduling}
}

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2 Search Results for "Schultz, Rüdiger"

05031 Abstracts Collection – Algorithms for Optimization with Incomplete Information

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05031 Summary – Algorithms for Optimization with Incomplete Information

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