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1. Parallel Scientific Computing and Optimization : Advances and Applications
by Raimondas Čiegis, David Henty, Bo Kågström, Julius Žilinskas ; edited by Panos M. Pardalos, Ding-Zhu Du
出版情報: New York, NY : Springer New York, 2009
シリーズ名: Springer Optimization and Its Applications ; 27
オンライン: http://dx.doi.org/10.1007/978-0-387-09707-7
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2. Design and Analysis of Approximation Algorithms
by Ding-Zhu Du, Ker-I Ko, Xiaodong Hu
出版情報: New York, NY : Springer Science+Business Media, LLC, 2012
シリーズ名: Springer Optimization and Its Applications ; 62
オンライン: http://dx.doi.org/10.1007/978-1-4614-1701-9
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3. Connected Dominating Set: Theory and Applications
by Ding-Zhu Du, Peng-Jun Wan
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Optimization and Its Applications ; 77
オンライン: http://dx.doi.org/10.1007/978-1-4614-5242-3
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4. Fuzzy Multi-Criteria Decision Making : Theory and Applications with Recent Developments
edited by Panos M. Pardalos, Ding-Zhu Du, Cengiz Kahraman
出版情報: Boston, MA : Springer Science+Business Media, LLC, 2008
シリーズ名: Springer Optimization and Its Applications ; 16
オンライン: http://dx.doi.org/10.1007/978-0-387-76813-7
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5. Optimal Coverage in Wireless Sensor Networks. 1st ed. 2020
by Weili Wu, Zhao Zhang, Wonjun Lee, Ding-Zhu Du
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Optimization and Its Applications ; 162
オンライン: https://doi.org/10.1007/978-3-030-52824-9
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目次情報: 続きを見る
Preface
1. Introduction
2. Sensor Cover
3. Connected Sensor Cover
4. lifetime of Coverage
5. Weighted Sensor Cover
6. k-Coverage
7. Heterogeneous Sensors
8. Barrier Coverage
9. Sweep-Coverage
10. Partial Coverage
11. Mobile Sensors
12. Camera Sensors
Energy-Harvesting Sensors
Underwater Sensor
Crowdsensing
Bibliography
Preface
1. Introduction
2. Sensor Cover
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6. Introduction to Combinatorial Optimization. 1st ed. 2022
by Ding-Zhu Du, Panos M. Pardalos, Xiaodong Hu, Weili Wu
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 196
オンライン: https://doi.org/10.1007/978-3-031-10596-8
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目次情報: 続きを見る
1. Introduction.-2. Divide-and-Conquer
3. Dynamic Programming and Shortest Path
4. Greedy Algorithm and Spanning Tree
5. Incremental Method and Maximum Network Flow
6. Linear Programming
7. Primal-Dual Methods and Minimum Cost Flow
8. NP-hard Problems and Approximation Algorithms
9. Restriction and Steiner Tree
10. Greedy Approximation and Submodular Optimization
11. Relaxation and Rounding. 12. Nonsubmodular Optimization
Bibliography
1. Introduction.-2. Divide-and-Conquer
3. Dynamic Programming and Shortest Path
4. Greedy Algorithm and Spanning Tree