碌碌之人
发表于 2025-3-23 12:07:37
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observatory
发表于 2025-3-23 14:23:57
Norbert Bartsch,Ernst Röhrig. Indeed, when . reaches ., the number of states of the automaton, the n-simulations defined for finite-automata and for labeled transition systems correspond precisely to language containment and trace containment, respectively. But for each fixed ., the maximal .-simulation relation is computable
吝啬性
发表于 2025-3-23 20:19:39
reviously known upper bound. On the positive side, we show that if the winning condition is a Boolean combination of formulas of the form “eventually .” and “infinitely often .,” for a state-formula ., then the game can be decided in ., and also establish a matching lower bound. Such conditions incl
兴奋过度
发表于 2025-3-23 22:48:17
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暗指
发表于 2025-3-24 05:33:32
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有效
发表于 2025-3-24 10:21:29
Norbert Bartsch,Ernst Röhriglass. Mean-payoff automaton expressions subsume deterministic mean-payoff automata, and we show that they have expressive power incomparable to nondeterministic and alternating mean-payoff automata. We also present for the first time an algorithm to compute distance between two quantitative language
correspondent
发表于 2025-3-24 11:05:55
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急急忙忙
发表于 2025-3-24 15:26:07
Norbert Bartsch,Ernst Röhrig this architecture, maximum, minimum, or sum of . values can be found in .(.), median row of a binary picture in .(.), shortest distance between two points in .(.). This architecture is well suited for parallel processing of applications in Linear Algebra, Image Processing, Computational Geometry an
冬眠
发表于 2025-3-24 21:27:25
Norbert Bartsch,Ernst Röhrigepreneurship lens. In this chapter, we explore how entrepreneurs, as inhabitants, take part in the covid resilience of a city, with particular reference to the Kozhikode urban agglomeration of Kerala, India. Our exploration highlights how entrepreneurs sustained their ventures by transforming their
改进
发表于 2025-3-25 00:27:07
Norbert Bartsch,Ernst Röhrighowed a 61% reduction in daily NO. during lockdown phase-1 and phase-2 as compared to 2019. There is a drop in AOD by 55, 24 and 30% in lockdown phase-1, lockdown phase-2 and lockdown phase-3 w.r.t. pre-lockdown phases. However, an increase of 30% is observed during the post-lockdown phase of 2020 w