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Generalized network improvement and packing problems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Generalized network improvement and packing problems/ by Michael Holzhauser.
作者:	Holzhauser, Michael.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2016.,
面頁冊數:	xvi, 213 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Mathematical optimization. -
電子資源:	http://dx.doi.org/10.1007/978-3-658-16812-4
ISBN:	9783658168124

Generalized network improvement and packing problems
Holzhauser, Michael.

Generalized network improvement and packing problems[electronic resource] /by Michael Holzhauser. - Wiesbaden :Springer Fachmedien Wiesbaden :2016. - xvi, 213 p. :ill., digital ;24 cm.

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.

ISBN: 9783658168124

Standard No.: 10.1007/978-3-658-16812-4doiSubjects--Topical Terms:

527675
Mathematical optimization.

LC Class. No.: QA402.5 / .H65 2016

Dewey Class. No.: 519.6

Generalized network improvement and packing problems
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520 $a 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.
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