Titlebook: New Frontiers of Biostatistics and Bioinformatics; Yichuan Zhao,Ding-Geng Chen Book 2018 Springer Nature Switzerland AG 2018 Biostatistica

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A. Ring,M. Scharpenberg,S. Grill,R. Schall,W. Brannathlt is obtained by applying a refined version of the main algorithm suggested by Fraigniaud, Korman and Rodeh in STOC’16, which was designed for the context of linear parallel search..We then describe an optimal non-coordinating algorithm for the case where the distribution . is known. The running ti

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Lian Li,Yichuan Zhaolt is obtained by applying a refined version of the main algorithm suggested by Fraigniaud, Korman and Rodeh in STOC’16, which was designed for the context of linear parallel search..We then describe an optimal non-coordinating algorithm for the case where the distribution . is known. The running ti

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Bochao Jia,Faming Liangon . of input vertices satisfies .) our bounds give constant factor approximations, improving the previous logarithmic approximation factors. For those DAGs, by avoiding certain I/O-inefficiencies, which we will define precisely, a pebbling strategy is guaranteed to satisfy those bounds and asymptot

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