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Combinatorics of Geometrically Distributed Random Variables: Value and Position of the rth Left-to-Right Maximum
- Discrete Math
"... For words of length n, generated by independent geometric random variables, we consider the average value and the average position of the rth left--to--right maximum, for fixed r and n !1. 1. ..."
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Cited by 8 (5 self)
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For words of length n, generated by independent geometric random variables, we consider the average value and the average position of the rth left--to--right maximum, for fixed r and n !1. 1.
Analyzing the Stochastic Complexity via Tree Polynomials
, 2005
"... Stochastic complexity of a data set is defined as the shortest possible code length for the data obtainable by using some fixed set of models. This measure ..."
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Cited by 4 (4 self)
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Stochastic complexity of a data set is defined as the shortest possible code length for the data obtainable by using some fixed set of models. This measure
On the spectrum of the Zhang-Zagier height
- Biological Cybernetics
, 1997
"... Abstract. From recent work of Zhang and of Zagier, we know that their height H(α) is bounded away from 1 for every algebraic number α different from 0, 1, 1/2 ± √ −3/2. The study of the related spectrum is especially interesting, for it is linked to Lehmer’s problem and to a conjecture of Bogomolov ..."
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Cited by 3 (1 self)
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Abstract. From recent work of Zhang and of Zagier, we know that their height H(α) is bounded away from 1 for every algebraic number α different from 0, 1, 1/2 ± √ −3/2. The study of the related spectrum is especially interesting, for it is linked to Lehmer’s problem and to a conjecture of Bogomolov. After recalling some definitions, we show an improvement of the so-called Zhang-Zagier inequality. To achieve this, we need some algebraic numbers of small height. So, in the third section, we describe an algorithm able to find them, and we give an algebraic number with height 1.2875274... discovered in this way. This search up to degree 64 suggests that the spectrum of H(α) mayhave a limit point less than 1.292. We prove this fact in the fourth part. 1.
Coinductive Counting With Weighted Automata
, 2002
"... A general methodology is developed to compute the solution of a wide variety of basic counting problems in a uniform way: (1) the objects to be counted are enumerated by means of an infinite weighted automaton; (2) the automaton is reduced by means of the quantitative notion of stream bisimulation; ..."
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Cited by 3 (0 self)
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A general methodology is developed to compute the solution of a wide variety of basic counting problems in a uniform way: (1) the objects to be counted are enumerated by means of an infinite weighted automaton; (2) the automaton is reduced by means of the quantitative notion of stream bisimulation; (3) the reduced automaton is used to compute an expression (in terms of stream constants and operators) that represents the stream of all counts.
Coinductive counting: bisimulation in enumerative combinatorics (extended abstract). Report SEN-R0129, CWI, 2001. Available at URL http://www.cwi.nl. Also in
- L. Moss (Ed.), The Proc. CMCS’02, ENTCS, Vol. 65, Elsevier Science B.V
, 2002
"... Coinductive counting: bisimulation in enumerative combinatorics (extended abstract) ..."
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Cited by 1 (1 self)
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Coinductive counting: bisimulation in enumerative combinatorics (extended abstract)
Asymptotic Estimates for Generalized Stirling Numbers ABSTRACT
, 1999
"... and their applications. SMC is sponsored by the Netherlands Organization for Scientific Research (NWO). CWI is a member of ..."
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Cited by 1 (0 self)
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and their applications. SMC is sponsored by the Netherlands Organization for Scientific Research (NWO). CWI is a member of
Elements of stream calculus
- In MFPS 2001, ENTCS 45
, 2001
"... CWI is a founding member of ERCIM, the European Research Consortium for Informatics and Mathematics. CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below are the names of the clusters and in parentheses their acronyms. ..."
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Cited by 1 (1 self)
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CWI is a founding member of ERCIM, the European Research Consortium for Informatics and Mathematics. CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below are the names of the clusters and in parentheses their acronyms.
Determination of Cycle Structure in Large Permutations Implementation on Linux PC Cluster of Workstations
"... We consider the task of computing the cycle structure of a permutation π on n numbers. The permutation is given as an oracle, that is, when we specify x, we get back π(x) from the oracle, but have no further knowledge about the permutation’s structure. By computing the cycle structure of π, we mean ..."
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We consider the task of computing the cycle structure of a permutation π on n numbers. The permutation is given as an oracle, that is, when we specify x, we get back π(x) from the oracle, but have no further knowledge about the permutation’s structure. By computing the cycle structure of π, we mean that a list is generated that

