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Approximation of the Fractional SDEs with Stochastic Forcing
Published 2024-12-01“…Using the implicit Euler and Milstein approximation schemes, the conditions for the pathwise convergence rate of these approximations to the solution of the fractional SDEs with stochastic forcing are found.…”
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An Approximation of Semigroups Method for Stochastic Parabolic Equations
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Fractional SDEs with stochastic forcing: Existence, uniqueness, and approximation
Published 2023-10-01“… In this article, we are interested in fractional stochastic differential equations (FSDEs) with stochastic forcing, i.e., to FSDE we add a stochastic forcing term. …”
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Markov-Chain Perturbation and Approximation Bounds in Stochastic Biochemical Kinetics
Published 2025-06-01“…We begin by discussing the general problem of approximate modeling in stochastic chemical kinetics. …”
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Approximate and Exact Controllability for Hilfer Fractional Stochastic Evolution Equations
Published 2024-12-01“…This paper investigates the controllability of Hilfer fractional stochastic evolution equations (HFSEEs). Initially, we obtain a conclusion regarding the approximate controllability of HFSEEs by employing the Tikhonov-type regularization method and Schauder′s fixed-point theorem. …”
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Symmetries of th-Order Approximate Stochastic Ordinary Differential Equations
Published 2012-01-01“…Symmetries of th-order approximate stochastic ordinary differential equations (SODEs) are studied. …”
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On approximation of stochastic integrals with respect to a fractional Brownian motion
Published 2005-12-01Subjects: “…approximation…”
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Simultaneous perturbation stochastic aproximation for Lipshitz functions
Published 2004-12-01Subjects: “…stochastic approximation…”
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Approximate Controllability of Semilinear Neutral Stochastic Integrodifferential Inclusions with Infinite Delay
Published 2015-01-01“…The approximate controllability of semilinear neutral stochastic integrodifferential inclusions with infinite delay in an abstract space is studied. …”
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Gaussian approximation of dynamic cavity equations for linearly-coupled stochastic dynamics
Published 2025-07-01“…Starting with a graphical model representation of the dynamic partition function for a system of linearly-coupled stochastic differential equations, we use dynamic cavity equations on locally tree-like factor graphs to approximate the stochastic measure. …”
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Approximate Controllability of a 3D Nonlinear Stochastic Wave Equation
Published 2014-01-01“…We study the well-posedness of a 3D nonlinear stochastic wave equation which derives from the Maxwell system by the Galerkin method. …”
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Empirical Approximation for the Stochastic Fundamental Diagram of Traffic Flow on Signalized Intersection
Published 2018-01-01“…To describe the uncertainty of FD, in this work we established stochastic fundamental diagram (SFD) which is defined by the distributions of shockwave speed. …”
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A deterministic criterion for approximate controllability of stochastic differential equations with jumps
Published 2025-05-01Subjects: “…Stochastic systems…”
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14
An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling.
Published 2023-05-01“…An elegant approach to capturing environmental stochasticity is to model the force of infection as a stochastic process. …”
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Convergence Analysis of the Approximation Problems for Solving Stochastic Vector Variational Inequality Problems
Published 2020-01-01“…In this paper, we consider stochastic vector variational inequality problems (SVVIPs). …”
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Long-time analytic approximation of large stochastic oscillators: Simulation, analysis and inference.
Published 2017-07-01“…We present a new stochastic approximation of biological oscillators that addresses these needs. …”
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Stochastic differential equations with bad coefficients: a short note on the weak approximations
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18
APPROXIMATE CONTROLLABILITY OF IMPULSIVE STOCHASTIC SYSTEMS DRIVEN BY ROSENBLATT PROCESS AND BROWNIAN MOTION
Published 2022-12-01Subjects: “…approximate controllability, fixed point theorem, rosenblatt process, mild solution stochastic impulsive systems.…”
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Approximating the Solution Stochastic Process of the Random Cauchy One-Dimensional Heat Model
Published 2016-01-01“…The theoretical results are illustrated by means of an example where reliable approximations of the mean and standard deviation to the solution stochastic process are given.…”
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Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems
Published 2025-01-01“…In response to this challenge, this paper presents a novel approach that adapts imitation learning to efficiently approximate stochastic predictive control strategies, thus significantly reducing the computational burden through offline training. …”
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