Generalized Network Improvement and Packing Problems

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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Holzhauser, Michael (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Holzhauser, Michael.  |e author. 
245 1 0 |a Generalized Network Improvement and Packing Problems  |h [electronic resource] /  |c by Michael Holzhauser. 
264 1 |a Wiesbaden :  |b Springer Fachmedien Wiesbaden :  |b Imprint: Springer Spektrum,  |c 2016. 
300 |a XVI, 213 p. 26 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
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. 
650 0 |a Mathematics. 
650 0 |a Algorithms. 
650 0 |a Mathematical optimization. 
650 1 4 |a Mathematics. 
650 2 4 |a Discrete Optimization. 
650 2 4 |a Algorithms. 
650 2 4 |a Mathematics of Algorithmic Complexity. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783658168117 
856 4 0 |u http://dx.doi.org/10.1007/978-3-658-16812-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)