By Amihood Amir, Avivit Levy (auth.), Tapio Elomaa, Heikki Mannila, Pekka Orponen (eds.)

For decades Esko Ukkonen has performed a huge position within the development of computing device technology in Finland. He used to be the major individual within the improvement of the varsity of algorithmic learn and has contributed significantly to post-graduate schooling in his state. Esko Ukkonen has through the years labored inside of many components of machine technology, together with numerical equipment, complexity idea, theoretical features of compiler building, and common sense programming. besides the fact that, the main target of his examine has been on algorithms and their functions. This Festschrift quantity, released to honor Esko Ukkonen on his sixtieth birthday, comprises 18 refereed contributions by means of his former PhD scholars and associates, with whom he has cooperated heavily in the course of the process his profession. The Festschrift used to be provided to Esko in the course of a festive symposium geared up on the college of Helsinki to have a good time his birthday. The essays basically current examine on computational trend matching and string algorithms, parts that experience benefited considerably from the paintings of Esko Ukonen.

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**Example text**

Interchange rearrangement: The element-cost model. Theoretical Computer Science 410(43), 4315–4326 (2009) 32. : Rapid identiﬁcation of repeated patterns in strings, arrays and trees. In: Symposium on the Theory of Computing, vol. 4, pp. 125–136 (1972) 33. : Fast pattern matching in strings. SIAM J. Comp. 6, 323–350 (1977) 34. : An extension of the string-to-string correction problem. J. of the ACM, 177–183 (1975) 35. : Fast probabilistic algorithms for veriﬁcation of polynomial identities. J.

Theorem 2. There is a constant c such that K(x) ≤ |x| + c. Unfortunately, there is no program that produces the integer K(x) from an input string x. 36 A. Apostolico Theorem 3. K is not a computable function. This is established by exhibiting an absurd program that would generate a string that could only be generated by a longer program. Nevertheless, it is easy to ﬁnd an upper bound for K(x): simply compress the string x by one of the available methods, concatenate the compressed string to its suitably encoded decompressor, and measure the resulting length.

Sorting by lengthweighted reversals: Dealing with signs and circularity. , Dogrusoz, U. ) CPM 2004. LNCS, vol. 3109, pp. 32–46. Springer, Heidelberg (2004) 18. : Fast sorting by reversal. , Meyers, G. ) CPM 1996. LNCS, vol. 1075, pp. 168–185. Springer, Heidelberg (1996) 19. : Sorting by reversals is diﬃcult. In: Proc. 1st Annual Intl. Conf. on Research in Computational Biology (RECOMB), pp. 75–83. ACM Press, New York (1997) 20. : Note on the theory of permutations. Philosophical Magazine (34), 527– 529 (1849) 21.