Generalized Network Improvement and Packing Problems
(Sprache: Englisch)
Michael Holzhauser discusses generalizations of well-known network flow and packing problems by additional or modified side constraints. By exploiting the inherent connection between the two problem classes, the author investigates the complexity and...
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Michael Holzhauser discusses generalizations of well-known network flow and packing problems by additional or modified side constraints. By exploiting the inherent connection between the two problem classes, the author investigates the complexity and approximability of several novel network flow and packing problems and presents combinatorial solution and approximation algorithms.
Inhaltsverzeichnis zu „Generalized Network Improvement and Packing Problems “
Fractional Packing and Parametric Search Frameworks.- Budget-Constrained Minimum Cost Flows: The Continuous Case.- Budget-Constrained Minimum Cost Flows: The Discrete Case.- Generalized Processing Networks.- Convex Generalized Flows.
Autoren-Porträt von Michael Holzhauser
Dr. Michael Holzhauser studied computer science at the University of Kaiserslautern and is now a research fellow in the Optimization Research Group at the Department of Mathematics of the University of Kaiserslautern.
Bibliographische Angaben
- Autor: Michael Holzhauser
- 2017, 1st ed. 2016, XVI, 213 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658168110
- ISBN-13: 9783658168117
- Erscheinungsdatum: 12.01.2017
Sprache:
Englisch
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