Results 21 to 30 of about 5,440,548 (293)
Entropy, 2022 Related to the letters of an alphabet, entropy means the average number of binary digits required for the transmission of one character. Checking tables of statistical data, one finds that, in the first position of the numbers, the digits 1 to 9 occur ...
Welf Alfred Kreiner
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Asymptotic Probability Density Function of Nonlinear Phase Noise [PDF]
, 2003 The asymptotic probability density function of nonlinear phase noise, often called the Gordon-Mollenauer effect, is derived analytically when the number of fiber spans is very large.
Cameron +7 more
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An Alternative Lambert-Type Distribution for Bounded Data
Mathematics, 2023 In this article, we propose a new two-parameter distribution for bounded data such as rates, proportions, or percentages. The density function of the proposed distribution, presenting monotonic, unimodal, and inverse-unimodal shapes, tends to a positive ...
Héctor Varela +3 more
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Entropic Density Functional Theory
Entropy, 2023 A formulation of density functional theory (DFT) is constructed as an application of the method of maximum entropy for an inhomogeneous fluid in thermal equilibrium. The use of entropy as a systematic method to generate optimal approximations is extended from the classical to the quantum domain.
Ahmad Yousefi, Ariel Caticha
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Experimental assessment of presumed filtered density function models [PDF]
, 2015 Measured filtered density functions (FDFs) as well as assumed beta distribution model of mixture fraction and “subgrid” scale (SGS) scalar variance, used typically in large eddy simulations, were studied by analysing experimental data, obtained from two ...
A. M. K. P. Taylor +4 more
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Density functional tight binding [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2014 This paper reviews the basic principles of the density-functional tight-binding (DFTB) method, which is based on density-functional theory as formulated by Hohenberg, Kohn and Sham (KS-DFT). DFTB consists of a series of models that are derived from a Taylor series expansion of the KS-DFT total energy.
Marcus, Elstner, Gotthard, Seifert
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A stochastic predator–prey model with two competitive preys and Ornstein–Uhlenbeck process
Journal of Biological Dynamics, 2023 In this paper, a stochastic predator–prey model with two competitive preys and Ornstein–Uhlenbeck process is formulated and analysed, which is used to obtain a better understanding of the population dynamics.
Qun Liu
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A Novel Anti-Collision Algorithm in RFID for Internet of Things
IEEE Access, 2018 This paper studies a novel anti-collision algorithm that is proposed in view of the problem, i.e., label reading collision in radio-frequency identification for Internet of Things.
Bai Zhi, Wang Sainan, He Yigang
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Evolution of Galaxy Luminosity Function and Luminosity Function by
Density Environment at 0.03
, 2006 Using galaxy sample observed by the BATC large-field multi-color sky survey and galaxy data of SDSS in the overlapped fields, we study the dependence of the restframe $r$-band galaxy luminosity function on redshift and on large-scale environment.
Bolzonella M. +10 more
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Extended social force model‐based mean shift for pedestrian tracking under obstacle avoidance
IET Computer Vision, 2017 It has been shown that mean shift tracking algorithm can achieve excellent results in pedestrian tracking task. It empirically estimates the target position of current frame by locating the maximum of a density function from the local neighborhood of the
Xuguang Zhang +3 more
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