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Titlebook: Algorithmic Aspects in Information and Management; 13th International C Ding-Zhu Du,Lian Li,Jialin Zhang Conference proceedings 2019 Spring

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Low-Luminosity Extra-Galactic H20 Masersone of the Genomic Scaffold Filling problem, called One-sided-GSF-max-BC problem. The previous approximation ratio for the problem is 2. However, as we pointed out in the introduction part, the ratio 2 algorithm in the literature can only deal with special instances of the problem, not really solve
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Prototypology and the Twenty-First Century,his problem feasible in the sense of Parameterized Complexity. We propose two new views to consider ., and a new parameterization of this problem (by the profit parameter) and give algorithms for these parameterizations that show the problems to be in FPT. More precisely, we give a linear-size kerne
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Prototypology and the Twenty-First Century,h edge is a nonnegative real number, then there is an algorithm to give an . approximation for the TSP problem in . and a polynomial space. It is in contrast to Golovnen’s approximation scheme for TSP on directed graphs with . time. We also show that there is no . time constant factor approximation
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Taking Urban Greening to a Higher Level,ximization of influence spread under the assumption that the number of influenced users determines the success of a product promotion. However, the profit of some products such as online game depends on the interactions among users besides the number of users. In this paper, we take both the number
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https://doi.org/10.1007/978-1-4757-0106-7a collection of given data with unit length into . sets so as to minimize the within-cluster sum of cosine dissimilarity. In this paper, we introduce the spherical .-means clustering with penalties and give a .-approximate algorithm, where . is the ratio of the maximal and the minimal penalty values
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of the problem of minimum-cost edge-weighted subgraph constructions (MCEWSC, for short). This new problem has many important applications in our reality life, and it is defined as follows. In the MCEWSC problem ., the objective is to choose a minimum-cost subset of edges from a graph such that thes
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