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作 者:Peng ZHANG
机构地区:[1]School of Software,Shandong University,Jinan,250101,China
出 处:《Frontiers of Computer Science》2022年第1期67-75,共9页中国计算机科学前沿(英文版)
基 金:The work was supported by the National Natural Science Foundation of China(Grant Nos.61972228,61672323,61672328);the Natural Science Foundation of Shandong Province(ZR2016AM28,ZR2019MF072).
摘 要:There are many optimization problems having the following common property:Given a total task consisting of many subtasks,the problem asks to find a solution to complete only part of these subtasks.Examples include the k-Forest problem and the k-Multicut problem,etc.These problems are called partial optimization problems,which are often NP-hard.In this paper,we systematically study the LP-rounding plus greed approach,a method to design approximation algorithms for partial optimization problems.The approach is simple,powerful and versatile.We show how to use this approach to design approximation algorithms for the k-Forest problem,the k-Multicut problem,the k-Generalized connectivity problem,etc.
关 键 词:k-Forest k-Multicut partial optimization LP-rounding Greedy algorithm Approximation algorithm
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