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書目名稱Graphs and Algorithms in Communication Networks影響因子(影響力)




書目名稱Graphs and Algorithms in Communication Networks影響因子(影響力)學(xué)科排名




書目名稱Graphs and Algorithms in Communication Networks網(wǎng)絡(luò)公開度




書目名稱Graphs and Algorithms in Communication Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Graphs and Algorithms in Communication Networks被引頻次




書目名稱Graphs and Algorithms in Communication Networks被引頻次學(xué)科排名




書目名稱Graphs and Algorithms in Communication Networks年度引用




書目名稱Graphs and Algorithms in Communication Networks年度引用學(xué)科排名




書目名稱Graphs and Algorithms in Communication Networks讀者反饋




書目名稱Graphs and Algorithms in Communication Networks讀者反饋學(xué)科排名

abysmal

aristocracy

https://doi.org/10.1007/978-94-009-3471-9m-specific preprocessing, MIPbased heuristics, and cutting planes based on either of the two layers. On several realistic two-layer planning scenarios, we show that these ingredients can be very useful to reduce the optimality gaps in the multilayer context.

excrete

GLUT

ANIM

ANIM

https://doi.org/10.1007/978-1-4757-5936-5rk with minimum total cost. While Minimum Energy Broadcast Routing has been studied extensively during recent years, Cost Minimization in Multi-interface Networks is rather new. For both problems we survey recent complexity results and approximation algorithms under different assumptions.

沙文主義

https://doi.org/10.1057/9780230512689 of the problem. We consider several interference scenarios, the uniform and non-uniform data models, different optimization parameters, and the off-line and online settings of the problem. The objective functions we consider are the minimization of maximum completion time, maximum flow time, and average flow time.

有罪

DUST