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

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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

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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

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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

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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.

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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.

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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.

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