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As a result, we give a tight analysis of the competitive ratio for every speed ratio.
We first give a tight analysis of the performance of a natural greedy algorithm LPT for the problem.
Moreover, we study some natural heuristics for this problem, and give tight analysis of their approximation ratios.
We give a tight analysis of the greedy algorithm introduced by Krumke and Wirth for the minimum label spanning tree problem.
We give a tight analysis of the MST heuristic recently introduced by G.-H. Lin and G. Xue for approximating the Steiner tree with minimum number of Steiner points and bounded edge-lengths.
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We also study some of the previously proposed algorithms for this problem, and give either tight or tighter analysis of their approximation ratio.
Thus, the upper bound for the performance of Algorithm 1 can be improved with a tighter analysis if we have further knowledge about the distribution of harvesting rates among nodes.
In order to identify a given target language L, classical inference algorithms try to identify words which define identical residual languages of L. Here, we study whether it could be interesting to perform a tighter analysis by identifying inclusion relations between the residual languages of L. We consider the class of Residual Finite State Automata (RFSAs).
A model of a processor with accurate timing information is essential for tight WCET analysis.
Saito et al. [8] derived the dispersion relation below using a nearest-neighbour tight binding analysis including the overlap integral s0.
Most simulations of charge transport within graphene-based electronic devices assume an energy band structure based on a nearest-neighbour tight binding analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com