Results 1 to 10 of about 77,815 (315)
A diffusion approximation and numerical methods for adaptive neuron models with stochastic inputs [PDF]
Frontiers in Computational Neuroscience, 2016 Characterizing the spiking statistics of neurons receiving noisy synaptic input is a central problem in computational neuroscience. Monte Carlo approaches to this problem are computationally expensive and often fail to provide mechanistic insight. Thus,
Robert eRosenbaum
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On the Poisson Equation and Diffusion Approximation. I [PDF]
Annals of Probability, 2001 The authors consider the Poisson equation \(Lu=-f\) in the entire \(d\)-dimensional space. \(L\) denotes a second-order elliptic differential operator which is the generator of a positive recurrent diffusion process \(X\). The function \(f\) is assumed to be centred with respect to the invariant measure of \(X\).
E Pardoux
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Inferring the Joint Demographic History of Multiple Populations: Beyond the Diffusion Approximation [PDF]
Genetics, 2017 Aaron P Ragsdale +2 more
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Approximation models for the evaluation of TCP/AQM networks [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 The article proposes a model in which Diffusion Approximation is used to analyse the TCP/AQM transmission mechanism in a multinode computer network. In order to prevent traffic congestion, routers implement AQM (Active Queue Management) algorithms.
Dariusz Marek +6 more
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Time-Inhomogeneous Feller-Type Diffusion Process in Population Dynamics
Mathematics, 2021 The time-inhomogeneous Feller-type diffusion process, having infinitesimal drift α(t)x+β(t) and infinitesimal variance 2r(t)x, with a zero-flux condition in the zero-state, is considered.
Virginia Giorno, Amelia G. Nobile
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Risks, 2022 We introduce here a diffusion-type approximation of the ruin probability both in finite and infinite time for a two-dimensional risk process, where claims and premiums are shared with a predetermined proportion.
Krzysztof Burnecki +2 more
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Frontiers in Oncology, 2021 Optical imaging is an emerging technology capable of qualitatively and quantitatively observing life processes at the cellular or molecular level and plays a significant role in cancer detection.
Lin Wang +4 more
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Optimized diffusion approximation [PDF]
Journal of the Optical Society of America A, 2018 We show that the diffusion approximation (DA) to the radiative transport equation, which is commonly used in biomedical optics to describe propagation of light in tissues, contains a previously unexplored adjustable parameter. This parameter is related to the rate of exponential decay of the reduced intensity.
Ugo Tricoli +3 more
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Diffusive Corrections to $P_N$ Approximations [PDF]
Multiscale Modeling & Simulation, 2011 22 pages, 4 ...
Matthias Schäfer 0003 +2 more
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Atom Indonesia, 2021 Diffusion approximation is an important approximation used to model a nuclear reactor core with a quite good accuracy and less computational cost. This approximation has been used widely around the globe for various kinds of nuclear reactors.
H. Ardiansyah, M. R. Oktavian
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