Results 21 to 30 of about 19,982 (307)
Entropy Generation through Deterministic Spiral Structures in a Corner Boundary-Layer Flow
Entropy, 2015 It is shown that nonlinear interactions between boundary layers on adjacent corner surfaces produce deterministic stream wise spiral structures. The synchronization properties of nonlinear spectral velocity equations of Lorenz form yield clearly defined ...
LaVar King Isaacson
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Entropy-based analysis and bioinformatics-inspired integration of global economic information transfer. [PDF]
PLoS ONE, 2013 The assessment of information transfer in the global economic network helps to understand the current environment and the outlook of an economy. Most approaches on global networks extract information transfer based mainly on a single variable. This paper
Jinkyu Kim +4 more
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Entropy, 2022 The vapor pressures of six solid 5-X-1,10-phenanthrolines (where X = Cl, CH3, CN, OCH3, NH2, NO2) were determined in suitable temperature ranges by Knudsen Effusion Mass Loss (KEML).
Bruno Brunetti +6 more
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Thermodynamics and time-average [PDF]
, 2004 For a dynamical system far from equilibrium, one has to deal with empirical probabilities defined through time-averages, and the main problem is then how to formulate an appropriate statistical thermodynamics.
A. Carati +7 more
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Entropy, 2016 Results are presented for an innovative computational procedure that predicts time-dependent instabilities and deterministic ordered structures in three-dimensional steady-state laminar boundary-layer flows.
LaVar King Isaacson
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Data, 2023 In this article, we pioneer a new Burr X distribution using the odd beta prime generalized (OBP-G) family of distributions called the OBP-Burr X (OBPBX) distribution.
Ahmad Abubakar Suleiman +4 more
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Large deviations for empirical entropies ofg-measures [PDF]
Nonlinearity, 2005 Summary: The entropy of an ergodic finite-alphabet process can be computed from a single typical sample path \(x^n_1\) using the entropy of the \(k\)-block empirical probability and letting k grow with \(n\) roughly like \(\log n\). We further assume that the distribution of the process is a g-measure.
J. R. CHAZOTTES, GABRIELLI, DAVIDE
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Entropy, 2014 A computational procedure is developed to determine initial instabilities within a three-dimensional laminar boundary layer and to follow these instabilities in the streamwise direction through to the resulting intermittency exponents within a fully ...
LaVar King Isaacson
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Empirical Maximum Entropy Methods [PDF]
AIP Conference Proceedings, 2006 A method, which we suggest to call the Empirical Maximum Entropy method, is implicitly present at Maximum Entropy Empirical Likelihood method, as its special, non‐parametric case. From this vantage point the entropy‐based empirical approach to estimation is surveyed.
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Entropy conditions for L r -convergence of empirical processes [PDF]
Advances in Computational Mathematics, 2008 Let \(P_n\) be the empirical measure for a sample of \(n\) independent random elements with joint distribution \(P\). Furthermore, let \({\mathcal F}\) be a class of real-valued (bounded) functions defined on the sample space. Then it is known that \(\sup_{f\in {\mathcal F}}|P_nf - Pf| \to 0\) almost surely provided that \({\mathcal F}\) admits a ...
A. CAPONNETTO +2 more
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