Titlebook: Experimental Algorithms; 12th International S Vincenzo Bonifaci,Camil Demetrescu,Alberto Marchet Conference proceedings 2013 Springer-Verla

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Estimation with Inviability and Impenetrancech trees. In this paper we take the search procedures under microscopic examination, and show that perfectly balanced search trees—when programmed carefully—are better than skewed search trees. As in the previous study, we only focus on the static case. We demonstrate that, by decoupling element com

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Gene Mapping, Discovery, and Expressionvices, the space efficiency of succinct data structures is becoming increasingly attractive in practice. In this paper, we re-examine the design of rank & select data structures from the bottom up, applying an architectural perspective to optimize their operation. We present our results in the form

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出血

Genome Plasticity in Buckwheat,rlanguage links, and describe and compare three exact and two heuristic approaches. In particular, we devise two ILP formulations, one based on . and one based on .. Furthermore, we use the recently proposed implicit hitting set framework [Karp, JCSS 2011; Chandrasekaran et al., SODA 2011] to solve

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Ismail Moghul,Anurag Priyam,Yannick Wurmly exactly one) module. Forcing this constraint can lead to misidentification of modules where none exist, while the true modules are drowned out in the noise, as has been observed e.g. for protein interaction networks. We thus propose a clustering model where networks contain both a . consisting of

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Investigation of Gene Structure and FunctionWe describe a set of basic succinct data structures which have been implemented as part of the . library, and applications on top of the library: an index to speed-up the access to collections of semi-structured data, a compressed string dictionary, and a compressed dictionary for scored strings which supports top-. prefix matching.

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Stefan A. Kirov,Bing Zhang,Jay R. SnoddyThe hub labels (HL) algorithm is the fastest known technique for computing driving times on road networks, but its practical applicability can be limited by high space requirements relative to the best competing methods. We develop compression techniques that substantially reduce HL space requirements with a small performance penalty.

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