標(biāo)題: Titlebook: Generalized Network Improvement and Packing Problems; Michael Holzhauser Book 2016 Springer Fachmedien Wiesbaden GmbH 2016 Computational C [打印本頁] 作者: VIRAL 時間: 2025-3-21 18:55
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書目名稱Generalized Network Improvement and Packing Problems讀者反饋
書目名稱Generalized Network Improvement and Packing Problems讀者反饋學(xué)科排名
作者: RUPT 時間: 2025-3-21 21:37
Disabled Children and Young People,ntify a polynomially solvable special case and show that the problem is solvable in pseudo-polynomial time when restricting to integral flows on series-parallel graphs..This chapter is based on joint work with Sven O. Krumke and Clemens Thielen (Holzhauser et al., 2015b).作者: archaeology 時間: 2025-3-22 00:33
Convex Generalized Flows,ntify a polynomially solvable special case and show that the problem is solvable in pseudo-polynomial time when restricting to integral flows on series-parallel graphs..This chapter is based on joint work with Sven O. Krumke and Clemens Thielen (Holzhauser et al., 2015b).作者: 愉快么 時間: 2025-3-22 06:30
Book 2016 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.作者: 綠州 時間: 2025-3-22 11:51
Robert E. Hosmer (Lecturer in English)in FPTASs with varying time complexities for oracles with varying power. Finally, we show that this generalized packing framework, which will be used in Chapter 4 and 6, yields FPTASs for a large class of network flow problems in general.作者: ACRID 時間: 2025-3-22 16:18 作者: ACRID 時間: 2025-3-22 18:56
Consciousness and Capacity-Building,lem becomes strongly .-hard to solve, but still solvable in pseudo-polynomial-time on series-parallel graphs and easy to approximate under several restrictions on extension-parallel graphs..This chapter is based on joint work with Sven O. Krumke and Clemens Thielen (Holzhauser et al., 2016a).作者: 容易懂得 時間: 2025-3-22 23:47
Torben J. Andersen,Richard A. Bettisorithms with strongly polynomial running time. Finally, we study the case of . flows and show that the problem becomes .-hard to solve and approximate in this case..This chapter is based on joint work with Sven O. Krumke and Clemens Thielen (Holzhauser et al., 2016c).作者: 縮減了 時間: 2025-3-23 02:16
Fractional Packing and Parametric Search Frameworks,in FPTASs with varying time complexities for oracles with varying power. Finally, we show that this generalized packing framework, which will be used in Chapter 4 and 6, yields FPTASs for a large class of network flow problems in general.作者: 灌輸 時間: 2025-3-23 05:41
Budget-Constrained Minimum Cost Flows: The Continuous Case,is the largest number that occurs in the problem instance. Moreover, we present a strongly polynomial-time algorithm that computes . traditional minimum cost flows and derive three fully polynomial-time approximation schemes for the problem on general and on acyclic graphs..This chapter is based on 作者: interference 時間: 2025-3-23 09:55 作者: 左右連貫 時間: 2025-3-23 17:22 作者: gonioscopy 時間: 2025-3-23 20:17
Generalized Network Improvement and Packing Problems作者: 北京人起源 時間: 2025-3-24 00:38 作者: 整理 時間: 2025-3-24 04:24 作者: ureter 時間: 2025-3-24 09:44
Preliminaries,ine the underlying model of computation. Moreover, we introduce the most common network flow problems that will be used and extended throughout the thesis and define the notion of approximation algorithms. In the very most cases, we comply with standard notations and definitions, so the familiar rea作者: MITE 時間: 2025-3-24 14:24 作者: ANN 時間: 2025-3-24 16:00 作者: 健忘癥 時間: 2025-3-24 20:22 作者: 歡呼 時間: 2025-3-24 23:12 作者: 不能仁慈 時間: 2025-3-25 03:31
Convex Generalized Flows,he outflow of an edge is a strictly increasing convex function of its inflow. In contrast to the traditional generalized maximum flow problem, which is solvable in polynomial time as shown in Section?2.4, we show that the problem becomes NP-hard to solve and approximate in this novel setting. Nevert作者: 常到 時間: 2025-3-25 11:31
Conclusion,e extensions of the traditional maximum flow and minimum cost flow problem and revealed a strong connection to a novel variant of the bounded knapsack problem. For all of these problems, we both presented exact algorithms and investigated their approximability under involvement of a diverse set of g作者: 仔細檢查 時間: 2025-3-25 13:41 作者: 思想 時間: 2025-3-25 17:29
978-3-658-16811-7Springer Fachmedien Wiesbaden GmbH 2016作者: jagged 時間: 2025-3-25 21:47 作者: Inelasticity 時間: 2025-3-26 03:37
The Electronic Media and British Dramaine the underlying model of computation. Moreover, we introduce the most common network flow problems that will be used and extended throughout the thesis and define the notion of approximation algorithms. In the very most cases, we comply with standard notations and definitions, so the familiar reader may skip parts of this chapter at will.作者: 任命 時間: 2025-3-26 07:14 作者: 假設(shè) 時間: 2025-3-26 11:38 作者: 有機體 時間: 2025-3-26 13:28 作者: 性行為放縱者 時間: 2025-3-26 17:09
Conclusion,e extensions of the traditional maximum flow and minimum cost flow problem and revealed a strong connection to a novel variant of the bounded knapsack problem. For all of these problems, we both presented exact algorithms and investigated their approximability under involvement of a diverse set of graph classes.作者: TRUST 時間: 2025-3-26 23:28 作者: Evocative 時間: 2025-3-27 04:24
oblems 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.978-3-658-16811-7978-3-658-16812-4作者: 新字 時間: 2025-3-27 05:37 作者: Pelago 時間: 2025-3-27 09:57
The Electronic Media and British Dramaine the underlying model of computation. Moreover, we introduce the most common network flow problems that will be used and extended throughout the thesis and define the notion of approximation algorithms. In the very most cases, we comply with standard notations and definitions, so the familiar rea作者: craven 時間: 2025-3-27 16:09
Robert E. Hosmer (Lecturer in English)metric search framework due to Megiddo (1979, 1983), which can often be used to solve parametric variants of known combinatorial problems in strongly polynomial time. On the other hand, we will review the fractional packing framework by Garg and Koenemann (2007), which yields generic fully polynomia作者: DUST 時間: 2025-3-27 21:04
https://doi.org/10.1057/9781403973542edge. The goal is to minimize the first kind of costs as in traditional minimum cost flows while the total usage fee of a flow must additionally fulfill a budget constraint. In the first part of this chapter, we present a specialized network simplex algorithm for the problem. In particular, we provi作者: gusher 時間: 2025-3-27 22:04 作者: calamity 時間: 2025-3-28 05:45 作者: 延期 時間: 2025-3-28 07:22 作者: 別名 時間: 2025-3-28 14:10
