Results 21 to 30 of about 1,128,212 (150)

Data assimilation in slow-fast systems using homogenized climate models [PDF]

, 2011
A deterministic multiscale toy model is studied in which a chaotic fast subsystem triggers rare transitions between slow regimes, akin to weather or climate regimes.
Ambaum, Anderson, Anderson, Anderson, Anderson, Anderson, Bergemann, Berner, Berner, Branstator, Buizza, Cheng, Cornick, Corti, Crommelin, Crommelin, Crommelin, Crommelin, Ditlevsen, Egger, Ehrendorfer, Evensen, Evensen, Franzke, Franzke, Franzke, Franzke, Frederiksen, Gardiner, Georg A. Gottwald, Givon, Golub, Hamill, Hamill, Harlim, Harlim, Hasselmann, Hsu, Imkeller, Kalnay, Khasminsky, Kimoto, Kleeman, Kondrashov, Kramers, Kurtz, Kwasniok, Legras, Leith, Lewis Mitchell, Li, Lin, Lin, Lorenz, Lorenz, Luzzatto, Majda, Majda, Majda, Majda, Majda, Melbourne, Palmer, Palmer, Papanicolaou, Pavliotis, Pavliotis, Plant, Shutts, Siegert, Simon, Stemler, Stephenson, Sura, Sura, Talagrand, Tippett, Tucker, Wang, Wilks, Wilks, Wirth, Zwanzig   +82 more
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Models of Late-Type Disk Galaxies: 1-D Versus 2-D

, 2014
We investigate the effects of stochasticity on the observed galaxy parameters by comparing our stochastic star formation two-dimensional (2-D) galaxy evolution models with the commonly used one-dimensional (1-D) models with smooth star formation. The 2-D
Mineikis, Tadas, Vansevičius, Vladas
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Stochastic Light-Cone CTMRG: a new DMRG approach to stochastic models

, 2002
We develop a new variant of the recently introduced stochastic transfer-matrix DMRG which we call stochastic light-cone corner-transfer-matrix DMRG (LCTMRG).
A Gendiar, A Kemper, A Schadschneider, Bursill R J, de Oliveira S M, Enss T, Essam J W, GNU multiprecision library (GMP), J Zittartz, Kemper A, Kinzel W, Kinzel W, Marro J, Nishino T, Nishino T, Nishino T, Nishino T, Peschel I, Schütz G M, T Nishino, Trotter H F   +20 more
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Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method [PDF]

, 2009
In this paper, we estimate the drift and diffusion parameters of the stochas- tic logisticmodels for the growth of Clostridium Acetobutylicum P262 using Levenberg- Marquardt optimization method of non linear least squares.
Abd. Rahman, Haliza, Bahar, Arifah, Mohd. Aziz, Mohd. Khairul Bazli, Rosli, Norhayati, Salleh, Madihah, Weber, Gerhard-Wilhelm   +5 more
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Activity autocorrelation in financial markets. A comparative study between several models

, 2003
We study the activity, i.e., the number of transactions per unit time, of financial markets. Using the diffusion entropy technique we show that the autocorrelation of the activity is caused by the presence of peaks whose time distances are distributed ...
Allegrini, Allegrini, Bouchaud, Brock, Engle, Engle, Feller, Grigolini, Iori, J. Masoliver, J. Perelló, Krawiecki, L. Palatella, M. Montero, Mainardi, Masoliver, Masoliver, Mega, Perelló, Perelló, Sabatelli   +20 more
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Stochastic models of the chemostat [PDF]

, 2010
We consider the modeling of the dynamics of the chemostat at its very source. The chemostat is classically represented as a system of ordinary differential equations.
Campillo, Fabien, Joannides, Marc, Larramendy, Irène   +2 more
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Variational Principles for Stochastic Fluid Dynamics

, 2015
This paper derives stochastic partial differential equations (SPDEs) for fluid dynamics from a stochastic variational principle (SVP). The Legendre transform of the Lagrangian formulation of these SPDEs yields their Lie-Poisson Hamiltonian form.
Holm, Darryl D.
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A stochastic variational framework for fitting and diagnosing generalized linear mixed models

, 2014
In stochastic variational inference, the variational Bayes objective function is optimized using stochastic gradient approximation, where gradients computed on small random subsets of data are used to approximate the true gradient over the whole data set.
Nott, David J., Tan, Linda S. L.
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Symmetries of stochastic colored vertex models [PDF]

, 2020
We discover a new property of the stochastic colored six-vertex model called flip-invariance. We use it to show that for a given collection of observables of the model, any transformation that preserves the distribution of each individual observable also
Galashin, Pavel
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Validating Stochastic Models: Invariance Criteria for Systems of Stochastic Differential Equations and the Selection of a Stochastic Hodgkin-Huxley Type Model

, 2012
In recent years, many difficulties appeared when taking into account the inherent stochastic behavior of neurons and voltage-dependent ion channels in Hodgking-Huxley type models.
Cresson, Jacky, Puig, Bénédicte, Sonner, Stefanie   +2 more
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