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This review maps 2020-2025 developments in stochastic modeling, highlighting non-standard approaches and their applications to biology and epidemiology.
Yassine Sabbar, Kottakkaran Sooppy Nisar
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The Optimal Discretization of Stochastic Differential Equations
The paper studies discrete time pathwise approximations of stochastic differential equations. An adaptive discretization is introduced that reflects local properties of the simulated trajectory. The corresponding error is shown to converge to zero in average with a certain rate.
Norbert Hofmann +2 more
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Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
Our effort is to develop a criterion on almost surely exponential stability of numerical solution to stochastic pantograph differential equations, with the help of the discrete semimartingale convergence theorem and the technique used in stable analysis ...
Shaobo Zhou
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ON FUZZY STOCHASTIC DIFFERENTIAL EQUATIONS
The author considers a fuzzy stochastic differential equation containing a fuzzy valued diffusion term which is defined by a stochastic integral of a fuzzy process wrt one-dimensional Brownian motion. He develops a theory of existence and uniqueness of the solution for such systems and demonstrates how the technical machinery can be applied to ...
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Investigation of high order stochastic differential equations using averaging method
The averaging method is a useful tool for investigating both deterministic and stochastic quasilinear system. In the stochastic problems, however, the method has often been developed only for mechanical systems subjected to white noise excitations.In the
Nguyen Dong Anh, Ngo Thi Hong Hue
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Differential Equation–Constrained Optimization with Stochasticity
27 pages, 7 ...
Qin Li 0007, Li Wang 0033, Yunan Yang
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Fourier Spectral Methods for Some Linear Stochastic Space-Fractional Partial Differential Equations
Fourier spectral methods for solving some linear stochastic space-fractional partial differential equations perturbed by space-time white noises in the one-dimensional case are introduced and analysed.
Yanmei Liu, Monzorul Khan, Yubin Yan
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Stochastic Homogenization of Reflected Stochastic Differential Equations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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About a Problem of Stabilization by Noise for a System of Linear Differential Equations
The well-known effect of stabilization by noise for Ito’s scalar linear stochastic differential equation was proven by R.Z. Khasminskii more than 50 years ago. Here, a similar statement is obtained for a system of linear stochastic differential equations.
Leonid Shaikhet
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A linear numerical scheme for nonlinear BSDEs with uniformly continuous coefficients
We attempt to present a new numerical approach to solve nonlinear backward stochastic differential equations. First, we present some definitions and theorems to obtain the condition, from which we can approximate the nonlinear term of the backward ...
Omid. S. Fard, Ali V. Kamyad
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