Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Skiena, Steven S."'
Physical or geographic location proves to be an important feature in many data science models, because many diverse natural and social phenomenon have a spatial component. Spatial autocorrelation measures the extent to which locally adjacent observat
Externí odkaz:
http://arxiv.org/abs/2010.08676
We describe a simple model of how a publication's citations change over time, based on pure-birth stochastic processes with a linear cumulative advantage effect. The model is applied to citation data from the Physical Review corpus provided by APS. O
Externí odkaz:
http://arxiv.org/abs/1703.04746
We introduce a new class of scheduling problems in which the optimization is performed by the worker (single ``machine'') who performs the tasks. A typical worker's objective is to minimize the amount of work he does (he is ``lazy''), or more general
Externí odkaz:
http://arxiv.org/abs/cs/0210024
Autor:
Arkin, Esther M., Bender, Michael A., Demaine, Erik D., Demaine, Martin L., Mitchell, Joseph S. B., Sethia, Saurabh, Skiena, Steven S.
We explore the following problem: given a collection of creases on a piece of paper, each assigned a folding direction of mountain or valley, is there a flat folding by a sequence of simple folds? There are several models of simple folds; the simples
Externí odkaz:
http://arxiv.org/abs/cs/0011026
Akademický článek
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Publikováno v:
The American Mathematical Monthly, 1989 Aug 01. 96(7), 614-618.
Externí odkaz:
https://www.jstor.org/stable/2325182