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Ganardi, Moses: Language recognition in the sliding window model. 2019
Inhalt
Abstract
Acknowledgements
Contents
1 Introduction
1.1 The streaming model
1.2 The sliding window model
1.3 Outline
2 Preliminaries
2.1 Basic notation
2.2 Words, languages, monoids
2.3 Automata and regular languages
2.4 Context-free languages
2.5 Rational transductions
3 The sliding window model
3.1 Streaming algorithms
3.2 Fixed-size sliding window model
3.3 Variable-size sliding window model
3.4 Alternative characterizations
3.5 Related complexity measures
3.6 Connection to language growth
3.7 Closure properties
3.8 Remarks
4 Regular languages
4.1 Space trichotomy
4.2 Characterization of the space classes
4.3 The uniform problem
4.4 Deciding the space complexity
4.5 Conclusion
5 Rational functions
5.1 Suffix expansions
5.2 Finite index right congruences
5.3 Regular look-ahead
5.4 Critical tuples in Rt
5.5 Well-behaved transducers
5.6 Space trichotomy
5.7 Conclusion
6 Randomized sliding window algorithms
6.1 Randomized streaming algorithms
6.2 Space quatrochotomy
6.3 The Bernoulli counter
6.4 Suffix-free languages
6.5 Lower bounds with two-sided error
6.6 Lower bounds in the variable-size model
6.7 Lower bounds with one-sided error
6.8 Conclusion
7 Sliding window property testing
7.1 Introduction
7.2 Sliding window testers for regular languages
7.3 Trivial languages
7.4 Upper bounds
7.5 Lower bounds
7.6 Conclusion
8 Strict correctness
8.1 Introduction
8.2 Derandomization
8.3 Polynomially long streams
8.4 Conclusion
9 Context-free languages
9.1 Introduction
9.2 Below logarithmic space
9.3 Above logarithmic space
9.4 Deterministic one-counter languages
9.5 Conclusion
10 Visibly pushdown languages
10.1 Visibly pushdown automata
10.2 Description of the Myhill-Nerode classes
10.3 Proof strategy
10.4 Reduction to transducers
10.5 Bounded overapproximation
10.6 Conclusion
11 Conclusion
Resulting publications
Relevant for this thesis
Other publications
Bibliography