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19992025
most citedStrong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients

443 citations · 1.2k across the 25 of their papers we have counts for

collaborators

26 papers

math.PR2025

Fokker-Planck equation for stochastic heat equations

Qingyan Meng, Jinqiao Duan, Jinlong Wei +1

This work is devoted to the study of the Fokker--Planck equation for a stochastic heat equation with an additive -Wiener noise and non-homogeneous boundary conditions. We explic…

math.DS2024★ 6 cited

Sigmoidal approximations of a nonautonomous neural network with infinite delay and Heaviside function

Peter E. Kloeden, V. M. Villarragut

In this paper, we approximate a nonautonomous neural network with infinite delay and a Heaviside signal function by neural networks with sigmoidal signal functions. We show that th…

math.PR2023★ 2 cited

Strong order-one convergence of the Euler method for random ordinary differential equations driven by semi-martingale noises

Peter E. Kloeden, Ricardo M. S. Rosa

It is well known that the Euler method for a random ordinary differential equation driven by a stochastic process with -…

math.DS2023★ 1 cited

Random attractors of a stochastic Hopfield neural network model with delays

Wenjie Hu, Quanxin Zhu, Peter E. Kloeden

The global asymptotic behavior of a stochastic Hopfield neural network model (HNNM) with delays is explored by studying the existence and structure of random attractors. It is firs…

math.DS2022★ 2 cited

Forward and Pullback Dynamics of Nonautonomous Integrodifference Equations: Basic Constructions

Huy Huy, Peter E. Kloeden, Christian Pötzsche

In theoretical ecology, models describing the spatial dispersal and the temporal evolution of species having non-overlapping generations are often based on integrodifference equati…

math.DS2022

Numerical Dynamics of Integrodifference Equations: Forward Dynamics and Pullback Attractors

Huy Huynh, Peter E. Kloeden, Christian Pötzsche

In order to determine the dynamics of nonautonomous equations both their forward and pullback behavior need to be understood. For this reason we provide sufficient criteria for the…