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Generate 100 random numbers with the exponential distribution lambda=5.0.What is the probability that the largest of them is less than 1.0?
Our primary concern is to obtain a clear characterization of which languages are recognizable by strictly local automata and which aren't. The view of SL2 automata as generators le
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construct a social network from the real-world data, perform some simple network analyses using Gephi, and interpret the results.
Application of the general suffix substitution closure theorem is slightly more complicated than application of the specific k-local versions. In the specific versions, all we had
proof of arden''s theoram
We'll close our consideration of regular languages by looking at whether (certain) problems about regular languages are algorithmically decidable.
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The key thing about the Suffx Substitution Closure property is that it does not make any explicit reference to the automaton that recognizes the language. While the argument tha
what exactly is this and how is it implemented and how to prove its correctness, completeness...
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