Results 21 to 30 of about 541,185 (309)
Tensor quasi-random groups [PDF]
Proceedings of the American Mathematical Society, Series B, 2022 Gowers [Combin. Probab. Comput. 17 (2008), pp. 363–387] elegantly characterized the finite groups G G in which
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Randomness is Unpredictability [PDF]
, 2005 The concept of randomness has been unjustly neglected in recent philosophical literature, and when philosophers have thought about it, they have usually acquiesced in views about the concept that are fundamentally flawed.
Eagle, Antony
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Randomness and Noise in Information Systems [PDF]
, 2013 This dissertation is devoted to the study of randomness and noise in a number of information systems including computation systems, storage systems, and natural paradigms like molecular systems, where randomness plays important and distinct roles ...
Zhou, Hongchao
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Frontiers in Materials, 2021 The use of predictive models to examine defect production and migration in metallic systems requires a thorough understanding of the energetics of defect formation and migration.
Daniel Vizoso, Chaitanya Deo
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The effect of induced subgraphs on quasi‐randomness [PDF]
Random Structures & Algorithms, 2009 AbstractOne of the main questions that arise when studying random and quasi‐random structures is which properties $ \cal P$ are such that any object that satisfies $ \cal P$ “behaves” like a truly random one. In the context of graphs, Chung, Graham, and Wilson (Combinatorica 9 (1989), 345–362) call a graph p‐quasi‐random if it satisfies a long list of ...
Asaf Shapira, Raphael Yuster
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The quasi‐randomness of hypergraph cut properties [PDF]
Random Structures & Algorithms, 2011 AbstractLet $\alpha_1,\ldots,\alpha_k$ satisfy $\sum_i\alpha_i=1$ and suppose a k‐uniform hypergraph on n vertices satisfies the following property; in any partition of its vertices into k sets $A_1,\ldots,A_k$ of sizes $\alpha_1n,\ldots,\alpha_kn$, the number of edges intersecting $A_1,\ldots,A_k$ is (asymptotically) the number one would expect to ...
Asaf Shapira, Raphael Yuster
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Materials & Design, 2022 This study presents a novel algorithm to establish a numerical model for the study of mechanical behavior of multi-component material such as particle reinforced metal matrix composites, concrete, particle filled polymers, etc.
Yang Ding +3 more
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Propagation of partial randomness [PDF]
, 2013 Let f be a computable function from finite sequences of 0's and 1's to real numbers. We prove that strong f -randomness implies strong f-randomness relative to a PA-degree.
Simpson, Stephen G. +3 more
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Materials Research Letters, 2019 We fabricate self-assembled templates to produce textured polydimethylsiloxane (PDMS) with quasi-random dimension distributions which are employed as light manipulation coatings in polymer solar cells (PSCs). When deposited at the PSC glass/air interface,
Takahiro Takumi +3 more
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From Frequency Content to Signal Dynamics Using DNNs
IEEE Access, 2022 This study developed a novel method for analyzing and decomposing a signal into its main dynamics for small and large timescales. Our proposal is based on a decoupled hybrid system of convolutional and recurrent neural networks that uses as inputs the ...
Javier De Pedro-Carracedo +3 more
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