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Titlebook: Algorithms and Computation; 26th International S Khaled Elbassioni,Kazuhisa Makino Conference proceedings 2015 Springer-Verlag Berlin Heide

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樓主: GLOAT
31#
發(fā)表于 2025-3-26 21:17:06 | 只看該作者
Der Lebenssinn der Industriegesellschaft-vertex undirected graph, with each edge colored with one of . colors. The goal is to find a subgraph on a minimum number of vertices which has one induced edge of each color. The problem is known to be NP-hard, and has an upper bound of . and a lower bound of . on its approximation ratio..We define
32#
發(fā)表于 2025-3-27 01:54:06 | 只看該作者
https://doi.org/10.1007/978-3-322-88082-6ent sizes and fault costs. The strong .-hardness of its two important cases, the . (each page has unit fault cost) and the . (each page has the same fault cost as size) has been established. We prove that this already holds when page sizes are bounded by a?small constant: The bit and fault models ar
33#
發(fā)表于 2025-3-27 05:48:14 | 只看該作者
Zusammenfassung und Schlussbetrachtung,goal is to maximize the probability of choosing the best applicant. In this paper, we introduce the secretary problem with a choice function. The choice function represents the preference of the decision-maker. In this problem, the decision-maker hires some applicants, and the goal is to maximize th
34#
發(fā)表于 2025-3-27 11:51:41 | 只看該作者
35#
發(fā)表于 2025-3-27 14:36:39 | 只看該作者
Zusammenfassung und Schlussbetrachtung,ecurity requirements imply that the hypothesis should not contain false positives. We present such a learner for .-term DNF formulas for the uniform distribution and a generalization to .-bounded distributions. We briefly also describe how these results can be used to design a secure stegosystem.
36#
發(fā)表于 2025-3-27 20:41:15 | 只看該作者
37#
發(fā)表于 2025-3-28 00:39:49 | 只看該作者
38#
發(fā)表于 2025-3-28 05:39:49 | 只看該作者
The Secretary Problem with a Choice Functionum size of the choice, and prove that this is the best possible. Moreover, for the non-path-independent case, we prove that the success probability goes to arbitrary small for any algorithm even if the maximum size of the choice is 2.
39#
發(fā)表于 2025-3-28 06:19:12 | 只看該作者
The Benefit of Recombination in Noisy Evolutionary Searchficiently, regardless of the population size. Then we show that an evolutionary algorithm which does employ sexual recombination (the Compact Genetic Algorithm, short: cGA) can handle the noise using a graceful scaling of the population.
40#
發(fā)表于 2025-3-28 12:30:33 | 只看該作者
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