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Titlebook: Adventures Between Lower Bounds and Higher Altitudes; Essays Dedicated to Hans-Joachim Böckenhauer,Dennis Komm,Walter Unger Book 2018 Spri

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楼主: Clique
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https://doi.org/10.1007/BFb0041009cognized by . with polynomial advice. We also give examples of languages that cannot be recognized by . with polynomial advice. Finally, we show that increasing advice helps for ., and for any advice of size . we show that there is a language that can be recognized by a . with advice .(.), but canno
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Mathematical Modeling of Mechanical Systems,wer bounds on the amount of advice that is necessary for computing an optimal solution for paths. We complement these results by bounding the sufficient amount of advice for computing sub-optimal matchings. We furthermore prove that a single bit of advice does not help to improve over deterministic
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Scalar Systems: An Introduction,forms for the quantity but can obtain an exact average for the number of comparisons up to . efficiently. The major finding is that inserting one or two elements to an already sorted sequence, which is the fundamental strategy of (1,2)Insertion, is quite powerful; we conjecture that more complicated
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0302-9743 Hromkovic’s research topics.This Festschrift volume is published in honor of Juraj Hromkovič on the occasion of his 60th birthday. Juraj Hromkovič is a leading expert in the areas of automata and complexity theory, algorithms for hard problems, and computer science education..The contributions in th
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Frequency domain exact model matching, the nondeterministic state complexity may be arbitrarily large, the fooling set lower bound methods work in many cases. We modify the method in the case when multiple initial states may save one state. We also state some useful properties that allow us to avoid describing particular fooling sets which may often be difficult and tedious.
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https://doi.org/10.1007/BFb0041009esent new results in the nondeterministic finite automata setting. We characterise some subfamilies of regular languages that are nondeterministically decomposable/undecomposable and exhibit an infinite sequence of regular languages that are nondeterministically undecomposable but decomposable in the deterministic finite automata setting.
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Time domain exact model matching, of ., provided only inputs of length at most poly(.(.)) are considered. On the other hand we gather evidence that the number of states grows super-polynomially if the number of alternations is bounded by a fixed constant. Thus the behavior of one-way automata seems to be in marked contrast with the behavior of polynomial-time computations.
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