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20092024
most citedLaws of large numbers and Langevin approximations for stochastic neural field equations

11 citations · 14 across the 11 of their papers we have counts for

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8 papers · 1 filter

math.NA2024

A domain decomposition method for stochastic evolution equations

Evelyn Buckwar, Ana Djurdjevac, Monika Eisenmann

In recent years, SPDEs have become a well-studied field in mathematics. With their increase in popularity, it becomes important to efficiently approximate their solutions. Thus, ou…

math.NA2024

Numerical Approximations and Convergence Analysis of Piecewise Diffusion Markov Processes, with Application to Glioma Cell Migration

Evelyn Buckwar, Amira Meddah

In this paper, we focus on numerical approximations of Piecewise Diffusion Markov Processes (PDifMPs), particularly when the explicit flow maps are unavailable. Our approach is bas…

math.NA2021

A splitting method for SDEs with locally Lipschitz drift: Illustration on the FitzHugh-Nagumo model

Evelyn Buckwar, Adeline Samson, Massimiliano Tamborrino +1

In this article, we construct and analyse an explicit numerical splitting method for a class of semi-linear stochastic differential equations (SDEs) with additive noise, where the…

math.NA2020★ 1 cited

Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion

Irene Tubikanec, Massimiliano Tamborrino, Petr Lansky +1

We provide a comparative analysis of qualitative features of different numerical methods for the inhomogeneous geometric Brownian motion (IGBM). The conditional and asymptotic mean…

math.NA2017

Numerical Solution of Stochastic Neural Fields with Delays

Pedro M. Lima, Evelyn Buckwar

We introduce a new numerical algorithm for solving the stochastic neural field equation (NFE) with delays. Using this algorithm we have obtained some numerical results which illust…

math.NA2015

Numerical Simulations in Two-Dimensional Neural Fields

Pedro M. Lima, Evelyn Buckwar

In the present paper we are concerned with a numerical algorithm for the approximation of the two-dimensional neural field equation with delay. We consider three numerical examples…