Journal: Journal of Computer and System Sciences
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Abbreviation
J. comput. syst. sci
Publisher
Elsevier
19 results
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Publications 1 - 10 of 19
- On the power of nondeterminism and Las Vegas randomization for two-dimensional finite automataItem type: Journal Article
Journal of Computer and System SciencesĎuriš, Pavol; Hromkovič, Juraj; Inoue, Katsushi (2004) - Robust optimization in the presence of uncertainty: A generic approachItem type: Journal Article
Journal of Computer and System SciencesBuhmann, Joachim M.; Gronskiy, Alexey; Mihalák, Matúš; et al. (2018)We propose a novel approach for optimization under uncertainty. Our approach does not assume any particular noise model behind the measurements, and only requires two typical instances. We first propose a measure of similarity of instances (with respect to a given objective). Based on this measure, we then choose a solution randomly among all solutions that are near-optimum for both instances. The exact notion of near-optimum is intertwined with the proposed similarity measure. Our similarity measure also allows us to derive formal statements about the expected quality of the computed solution. Furthermore, we apply our approach to various optimization problems. - On the parameterized complexity of the fixed alphabet shortest common supersequence and longest common subsequence problemsItem type: Journal Article
Journal of Computer and System SciencesPietrzak, Krzysztof (2003) - k-Majority digraphs and the hardness of voting with a constant number of votersItem type: Journal Article
Journal of Computer and System SciencesBachmeier, Georg; Brandt, Felix; Geist, Christian; et al. (2019) - Call control with k rejectionsItem type: Journal Article
Journal of Computer and System SciencesAnand, R. Sai; Erlebach, Thomas; Hall, Alexander; et al. (2003) - Greedy routing and the algorithmic small-world phenomenonItem type: Journal Article
Journal of Computer and System SciencesBringmann, Karl; Keusch, Ralph; Lengler, Johannes; et al. (2022)The algorithmic small-world phenomenon, empirically established by Milgram in the 60 s [1], was theoretically explained by Kleinberg in 2000 [2]. However, from today's perspective his model has several severe shortcomings that limit the applicability to real-world networks. In order to give a more convincing explanation, we study decentralized greedy routing in a random graph model (geometric inhomogeneous random graphs) which overcomes all previous shortcomings. We prove that greedy routing succeeds with constant probability, and in case of success almost surely finds an almost shortest path of length Θ(loglogn), with stretch 1+o(1). Moreover, natural local patching methods ensure success probability 1, while maintaining the same stretch. These results also address the question whether there are efficient local routing protocols for the internet graph. Despite promising experimental studies the question remained unsolved theoretically. We give for the first time a rigorous, affirmative answer for a thoroughly validated model of the internet graph. © 2021 Elsevier Inc. - Infinite vs. finite size-bounded randomized computationsItem type: Journal Article
Journal of Computer and System SciencesKrálovič, Richard (2014) - On the Power of Safe LockingItem type: Journal Article
Journal of Computer and System SciencesLausen, Georg; Soisalon-Soininen, Eljas; Widmayer, Peter (1990) - On the advice complexity of the k-server problemItem type: Journal Article
Journal of Computer and System SciencesBöckenhauer, Hans-Joachim; Komm, Dennis; Královič, Rastislav; et al. (2017) - What one has to know when attacking P vs NPItem type: Journal Article
Journal of Computer and System SciencesHromkovič, Juraj; Rossmanith, Peter (2020)
Publications 1 - 10 of 19