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Titlebook: Computing and Combinatorics; 11th Annual Internat Lusheng Wang Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 2005 Computer.

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https://doi.org/10.1007/BFb0008699r these models, two improved approximation algorithms are presented, which have worst case performance ratios of 3 and (2 + .), respectively. Here . denotes the best approximation ratio for the Steiner Minimum Tree problem, and it is about 1.55 at the writing of the paper. The two approximation algo
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https://doi.org/10.1007/BFb0008699ributions. Since the classical random graph models are inadequate for explaining this phenomenon, alternative models have been proposed. However, most of the existing models unrealistically assume that each new joining node knows about all the existing nodes in the network. We relax this assumption
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A New Pseudoknots Folding Algorithm for RNA Structure Predictionnd a subclass of crossed pseudoknots. Compared with the Jens algorithm of .(..) time and .(..) space, this algorithm can predict more complex pseudoknots. Compared with the Rivas algorithm of .(..) time and .(..) space, this algorithm has the same power for the planar pseudoknots prediction.
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,Thermal Conductivities of Ge–Sb–Te Alloys,andom perturbations of that input, measured as a function of both the input length and the magnitude of the perturbations. If an algorithm has low smoothed complexity, then it should perform well on most inputs in every neighborhood of inputs..In this talk, we will explain how smoothed analysis can
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