Results 11 to 20 of about 219,402 (291)
Peer Reviewed ; http://deepblue.lib.umich.edu/bitstream/2027.42/31724/1/0000662 ...
Farris, James S. +3 more
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Permutations on the Random Permutation [PDF]
The random permutation is the Fraïssé limit of the class of finite structures with two linear orders. Answering a problem stated by Peter Cameron in 2002, we use a recent Ramsey-theoretic technique to show that there exist precisely 39 closed supergroups of the automorphism group of the random permutation, and thereby expose all symmetries of this ...
Linman, Julie, Pinsker, Michael
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Motivated by the problem of constructing bijective maps with low differential uniformity, we introduce the notion of permutation resemblance of a function, which looks to measure the distance a given map is from being a permutation. We prove several results concerning permutation resemblance and show how it can be used to produce low differentially ...
Li-An Chen, Robert S. Coulter
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Updated with minor corrections reflecting referee comments.
Elizalde, Sergi, Roichman, Yuval
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Permutations, Signs, and Sum Ranges
The sum range SRx;X, for a sequence x=(xn)n∈N of elements of a topological vector space X, is defined as the set of all elements s∈X for which there exists a bijection (=permutation) π:N→N, such that the sequence of partial sums (∑k=1nxπ(k))n∈N converges
Sergei Chobanyan +3 more
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The concept of prolificity was previously introduced by the authors in the context of compositions of integers. We give a general interpretation of prolificity that applies across a range of relational structures defined in terms of counting embeddings.
Albert, Michael, Tannock, Murray
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Grossversuch IV is a large and well documented experiment on hail suppression by silver iodide seeding. The original 1986 evaluation remained vague, although indicating a tendency to increase hail when seeding.
Armin Auf der Maur, Urs Germann
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Permutation tests for experimental data
This article surveys the use of nonparametric permutation tests for analyzing experimental data. The permutation approach, which involves randomizing or permuting features of the observed data, is a flexible way to draw statistical inferences in common ...
C. A. Holt, S. P. Sullivan
semanticscholar +1 more source
Surface electromyography (sEMG) is a valuable technique that helps provide functional and structural information about the electric activity of muscles. As sEMG measures output of complex living systems characterized by multiscale and nonlinear behaviors,
Philippe Ravier +3 more
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Calculating Permutation Entropy without Permutations [PDF]
A method for analyzing sequential data sets, similar to the permutation entropy one, is discussed. The characteristic features of this method are as follows: it preserves information about equal values, if any, in the embedding vectors; it is exempt from combinatorics; and it delivers the same entropy value as does the permutation method, provided the ...
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