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Titlebook: Combinatorial Optimization and Applications; 8th International Co Zhao Zhang,Lidong Wu,Ding-Zhu Du Conference proceedings 2014 Springer Int

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41#
發(fā)表于 2025-3-28 17:38:04 | 只看該作者
42#
發(fā)表于 2025-3-28 21:54:25 | 只看該作者
Performance Analysis and Improvement for the Construction of MCDS Problem in 3D Spaceill be used to analyze the approximation ratio), and then optimize the algorithms to select MCDS with prune techniques. The major technique we use is an adaptive jitter scheme, which solves the open question in this area.
43#
發(fā)表于 2025-3-28 23:02:58 | 只看該作者
0302-9743 ation and Applications, COCOA 2014, held on the island of Maui, Hawaii, USA, in December 2014. The 56 full papers included in the book were carefully reviewed and selected from 133 submissions. Topics covered include classic combinatorial optimization; geometric optimization; network optimization; o
44#
發(fā)表于 2025-3-29 05:20:27 | 只看該作者
Claudia Steinberger,Judith Michaeld so far. Our algorithm for . is optimal and runs in . time, while the algorithm for ., where . is an integer, runs in . time. The algorithms have been implemented and tested on randomly generated convex polygons.
45#
發(fā)表于 2025-3-29 11:15:54 | 只看該作者
46#
發(fā)表于 2025-3-29 12:25:30 | 只看該作者
Algorithms for Fair Partitioning of Convex Polygonsd so far. Our algorithm for . is optimal and runs in . time, while the algorithm for ., where . is an integer, runs in . time. The algorithms have been implemented and tested on randomly generated convex polygons.
47#
發(fā)表于 2025-3-29 16:53:12 | 只看該作者
A Quasi-polynomial Time Approximation Scheme for Euclidean CVRPTWmial time approximation scheme (Q-PTAS) for this category of CVRPTW under the Euclidean setting. With a reasonable vehicle speed requirement, our algorithm could generate a set of routes of the length of . on expectation.
48#
發(fā)表于 2025-3-29 23:19:40 | 只看該作者
49#
發(fā)表于 2025-3-30 00:47:25 | 只看該作者
A Practical Greedy Approximation for the Directed Steiner Tree Problemer a new .-approximation greedy algorithm called Greedy.., derived from a new fast .-approximation algorithm called Greedy. running in time at most ...We provide computational results to show that, Greedy. rivals the running time of the fast .-approximation and returns solution with smaller cost in practice.
50#
發(fā)表于 2025-3-30 04:02:39 | 只看該作者
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