2018
DOI: 10.1007/978-3-030-04414-5_8
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Visualizing the Template of a Chaotic Attractor

Abstract: 0000−0001−9926−058X] , Jeff Meder 1[0000−0002−2360−8487] , Emmanuel Kieffer 2[0000−0002−5530−8577] , Raphaël Bleuse 1[0000−0002−6728−2132] , Martin Rosalie 2[0000−0003−3676−120X] , Grégoire Danoy 1[0000−0001−9419−4210] , and Pascal Bouvry 1,2[0000−0001−9338−2834]Abstract. Chaotic attractors are solutions of deterministic processes, of which the topology can be described by templates. We consider templates of chaotic attractors bounded by a genus-1 torus described by a linking matrix. This article introduces a … Show more

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Cited by 2 publications
(9 citation statements)
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“…We give an exact algorithm for simple lists running in O(n!ϕ n ) time, where ϕ = √ 5+1 2 ≈ 1.618 is the golden ratio, and an exact algorithm for general lists running in O((2|L|/n 2 +1) n 2 /2 ϕ n n) time, which is polynomial in |L| for fixed n ≥ 2 (see Section 3). We implemented the algorithm for general lists and compared it to the algorithm of Olszewski et al [7] using their benchmark set (see Section 4). We show that the asymptotic runtimes of the algorithms of Olszewski et al [7] for simple and for general lists are O(ϕ 2|L| 5 −|L|/n n) and 2 O(n 2 ) , respectively.…”
Section: Observation 1 the Tangle Inmentioning
confidence: 99%
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“…We give an exact algorithm for simple lists running in O(n!ϕ n ) time, where ϕ = √ 5+1 2 ≈ 1.618 is the golden ratio, and an exact algorithm for general lists running in O((2|L|/n 2 +1) n 2 /2 ϕ n n) time, which is polynomial in |L| for fixed n ≥ 2 (see Section 3). We implemented the algorithm for general lists and compared it to the algorithm of Olszewski et al [7] using their benchmark set (see Section 4). We show that the asymptotic runtimes of the algorithms of Olszewski et al [7] for simple and for general lists are O(ϕ 2|L| 5 −|L|/n n) and 2 O(n 2 ) , respectively.…”
Section: Observation 1 the Tangle Inmentioning
confidence: 99%
“…Inspired by the practical research of Olszewski et al [7], we have considered tangle-height minimization. We have shown that the problem is NP-hard, but we note that membership in NP is not obvious because the minimum height can be exponential in the size of the input.…”
Section: Conclusion and Open Problemsmentioning
confidence: 99%
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