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＜電子ブック＞
Generalized Network Improvement and Packing Problems / by Michael Holzhauser

版	1st ed. 2016.
出版者	(Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum)
出版年	2016
大きさ	XVI, 213 p. 26 illus : online resource
著者標目	*Holzhauser, Michael author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Algorithms LCSH:Mathematics FREE:Discrete Optimization FREE:Algorithms FREE:Applications of Mathematics
一般注記	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 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. Contents 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 Target Groups Researchers and students in the fields of mathematics, computer science, and economics Practitioners in operations research and logistics The Author 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 HTTP:URL=https://doi.org/10.1007/978-3-658-16812-4

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