Combinatorics on Words: 10th International Conference, WORDS by Florin Manea, Dirk Nowotka

By Florin Manea, Dirk Nowotka

This publication constitutes the refereed complaints of the tenth foreign convention on Combinatorics on phrases, phrases 2015, held in Kiel, Germany, in September 2015 below the auspices of the EATCS.

The 14 revised complete papers provided have been conscientiously reviewed and chosen from 22 submissions. the most item within the contributions are phrases, finite or limitless sequences of symbols over a finite alphabet. The papers replicate either theoretical contributions relating to combinatorial, algebraic, and algorithmic points of phrases, in addition to to contributions featuring functions of the idea of phrases in different box of laptop technological know-how, linguistics, biology, bioinformatics, or physics.

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59(3), 379–407 (1954) 9. : Classical Recursion Theory. Studies in logic and the foundations of mathematics. North-Holland, Amsterdam (1999) 10. : Degrees of finite-state transformability. Inf. Control 24(2), 144–154 (1974) 11. : Elements of Automata Theory. Cambridge (2003) 12. : Degrees of Unsolvability. North-Holland, Elsevier (1971) 13. : Conjectures and questions from Gerald Sacks’s degrees of unsolvability. Arch. Math. Logic 36(4–5), 233–253 (1997) 14. : Undecidable extensions of monadic second order successor arithmetic.

4 we will use this kind of straight-line programs, and we use the term “algebraic straight-line programs” to distinguish them from string-generating straight-line programs. Example 1. Consider the SLP G = (V, Σ, rhs, A7 ) with V = {A1 , . . , A7 }, Σ = {a, b}, and the following right-hand side mapping: rhs(A1 ) = b, rhs(A2 ) = a, and rhs(Ai ) = Ai−1 Ai−2 for 3 ≤ i ≤ 7, Then val(G) = abaababaabaab, which is the 7th Fibonacci string. The SLP G is in Chomsky normal form and |G| = 12. One of the most basic tasks for SLP-compressed strings is compressed equality checking: input: Two SLPs G and H question: Does val(G) = val(H) hold?

To define a randomized version of NCi , one uses circuit families with additional inputs. So, let the nth circuit Cn in the family have n normal input gates plus m random input gates, where m is polynomially bounded in n. For an input x ∈ {0, 1}n one defines the acceptance probability as Prob[Cn accepts x] = |{y ∈ {0, 1}m | Cn (x, y) = 1}| . 2m Here, Cn (x, y) = 1 means that the circuit Cn evaluates to 1 if the ith normal input gate gets the ith bit of the input string x, and the ith random input gate gets the Equality Testing of Compressed Strings 21 ith bit of the random string y.

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