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Titlebook: Descriptional Complexity of Formal Systems; 19th IFIP WG 1.02 In Giovanni Pighizzini,Cezar Campeanu Conference proceedings 2017 IFIP Intern

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書目名稱Descriptional Complexity of Formal Systems
副標(biāo)題19th IFIP WG 1.02 In
編輯Giovanni Pighizzini,Cezar Campeanu
視頻videohttp://file.papertrans.cn/269/268286/268286.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Descriptional Complexity of Formal Systems; 19th IFIP WG 1.02 In Giovanni Pighizzini,Cezar Campeanu Conference proceedings 2017 IFIP Intern
描述This book constitutes the proceedings of the 19th International Conference on Descriptional Complexity of Formal Systems, DCFS 2017, held in Milano, Italy, in July 2017. The 20 full papers presented together with 4 invited talks were carefully reviewed and selected from 26 submissions.Descriptional Complexity is a ?eld in Computer Science that deals with the size of all kinds of objects that occur in computational models, such as turing machines, ?nite automata, grammars, splicing systems and others. The topics of this conference are related to all aspects of descriptional complexity..
出版日期Conference proceedings 2017
關(guān)鍵詞descriptional complexity; automata theory; formal languages; context free languages; regular languages; T
版次1
doihttps://doi.org/10.1007/978-3-319-60252-3
isbn_softcover978-3-319-60251-6
isbn_ebook978-3-319-60252-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2017
The information of publication is updating

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Most Complex Non-returning Regular Languagesfferent alphabets. We prove that the maximal syntactic semigroup of a non-returning language has . elements and requires at least . generators. We find the maximal state complexities of atoms of non-returning languages. Finally, we show that there exists a most complex non-returning language that me
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Sensing as a Complexity Measure We introduce and study a new complexity measure, based on the . required for recognizing the language. Intuitively, the sensing cost quantifies the detail in which a random input word has to be read in order to decide its membership in the language. We study the sensing cost of regular and .-regula
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Descriptional Complexity and Operations – Two Non-classical Casesdefine . as the set of all integers . such that there are .?languages ., ., with .In this paper we study these sets for the operation union, catenation, star, complement, set-subtraction, and intersection and the measure number of accepting states (defined for regular languages) as well as for rever
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