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Titlebook: Automata, Languages and Programming; 15th International C Timo Lepistö,Arto Salomaa Conference proceedings 1988 Springer-Verlag Berlin Heid

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Guido Rißmann-Ottow,Jörg Scherz,Sigi Stenzelithm to compute its convex hull and an .((. loglog.+.) · ..) time algorithms to compute various decompositions of an object, where . is the characteristic number of this object. Both operations, besides being solutions to interesting computational geometry problems, prove useful in motion planning w
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Formen struktureller Jugendarbeitiform bound for all concepts of a concept class..This extension, called ., enables learning many concept classes not learnable by the previous definitions. Nonuniformly learnable concept classes are characterized. Some examples (Boolean formulae, recursive and r.e. sets) are shown to be nonuniformly
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https://doi.org/10.1007/978-3-531-93332-0tate machines that allow only one-way communication between adjacent nodes. In particular, we show that OWC‘s with depth .(.) and operating in time .(.) can be simulated by ATM‘s in time .(.(.) · log .(.)) (and hence by a TM with the same amount of space). This extends Ruzzo‘s result that boolean ci
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Gewerkschaftliche Modernisierung slope. In the restricted case where k is O(.), line sweeping gives an optimal, Θ(.) algorithm. For general k we use the parametric search technique of Megiddo to describe an O(. (.).) algorithm. This is modified to produce a new, optimal Θ(.) selection algorithm by incorporating an approximation id
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Gewerkschaftliche Modernisierungngruence generated by a finite set of relations of the form ab∼ba. We introduce the notion of the approximation of a trace and we study its properties. The main result is the existence of an asynchronous automaton which recognizes the set of traces corresponding to an approximation. We give two appl
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