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Implementation and Application of Automata

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Cover of 'Implementation and Application of Automata'

Table of Contents

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    Book Overview
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    Chapter 1 On the Complexity of Determinizing Monitors
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    Chapter 2 On the Semantics of Atomic Subgroups in Practical Regular Expressions
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    Chapter 3 On the Regularity and Learnability of Ordered DAG Languages
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    Chapter 4 On the Number of Active States in Deterministic and Nondeterministic Finite Automata
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    Chapter 5 Complexity of Proper Prefix-Convex Regular Languages
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    Chapter 6 Equivalence of Probabilistic $$\mu $$ -Calculus and p-Automata
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    Chapter 7 Complexity of Bifix-Free Regular Languages
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    Chapter 8 Computational Completeness of Path-Structured Graph-Controlled Insertion-Deletion Systems
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    Chapter 9 Stamina: Stabilisation Monoids in Automata Theory
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    Chapter 10 A Simple Method for Building Bimachines from Functional Finite-State Transducers
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    Chapter 11 Alignment Distance of Regular Tree Languages
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    Chapter 12 Nondeterministic Complexity of Operations on Free and Convex Languages
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    Chapter 13 Transducing Reversibly with Finite State Machines
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    Chapter 14 From Hadamard Expressions to Weighted Rotating Automata and Back
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    Chapter 15 On the Conjecture $$\mathcal {L}_{\mathsf {DFCM}}\subsetneq \mathsf {RCM}$$
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    Chapter 16 Synchronization Problems in Automata Without Non-trivial Cycles
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    Chapter 17 Syntactic Complexity of Bifix-Free Languages
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Title
Implementation and Application of Automata
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-60134-2
ISBNs
978-3-31-960133-5, 978-3-31-960134-2
Editors

Arnaud Carayol, Cyril Nicaud

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 200%
Germany 1 100%
Portugal 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 1500%
Student > Ph. D. Student 5 500%
Professor 4 400%
Professor > Associate Professor 3 300%
Other 2 200%
Other 6 600%
Readers by discipline Count As %
Computer Science 19 1900%
Engineering 8 800%
Mathematics 3 300%
Unspecified 2 200%
Agricultural and Biological Sciences 2 200%
Other 1 100%