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A test of backward stochastic differential equations solver for solving semilinear parabolic differential equations in 1D and 2D

open access: yesPartial Differential Equations in Applied Mathematics, 2022
Backward stochastic differential equation solver was first introduced by Han et al in 2017. A semilinear parabolic partial differential equation is converted into a stochastic differential equation, and then solved by the backward stochastic differential
Evan Davis   +4 more
doaj   +1 more source

Stochastic Partial Differential Equation SIS Epidemic Models: Modeling and Analysis

open access: yesCommunications on Stochastic Analysis, 2019
The study on epidemic models plays an important role in mathematical biology and mathematical epidemiology. There has been much effort devoted to epidemic models using ordinary differential equations (ODEs), partial differential equations (PDEs), and ...
N. Nguyen, G. Yin
semanticscholar   +1 more source

Stochastic De Giorgi Iteration and Regularity of Stochastic Partial Differential Equation [PDF]

open access: yes, 2013
Under general conditions we show that the solution of a stochastic parabolic partial differential equation of the form \[ \partial_t u = \mathrm{div} (A \nabla u) + f(t,x, u) + g_i (t,x,u) \dot{w}^i_t \] is almost surely H\"older continuous in both space
Elton P. Hsu, Yu Wang, Zhenan Wang
semanticscholar   +1 more source

Approximations of stochastic partial differential equations

open access: yesThe Annals of Applied Probability, 2016
In this paper we show that solutions of stochastic partial differential equations driven by Brownian motion can be approximated by stochastic partial differential equations forced by pure jump noise/random kicks. Applications to stochastic Burgers equations are discussed.
Di Nunno, Giulia, Zhang, Tusheng
openaire   +5 more sources

Probabilistic Representations of Solutions of the Forward Equations [PDF]

open access: yes, 2007
In this paper we prove a stochastic representation for solutions of the evolution equation $ \partial_t \psi_t = {1/2}L^*\psi_t $ where $ L^* $ is the formal adjoint of an elliptic second order differential operator with smooth coefficients corresponding
Rajeev, B., Thangavelu, S.
core   +2 more sources

A direct approach to linear-quadratic stochastic control [PDF]

open access: yesOpuscula Mathematica, 2017
A direct approach is used to solve some linear-quadratic stochastic control problems for Brownian motion and other noise processes. This direct method does not require solving Hamilton-Jacobi-Bellman partial differential equations or backward stochastic ...
Tyrone E. Duncan, Bozenna Pasik-Duncan
doaj   +1 more source

Fuzzy-Stochastic Partial Differential Equations [PDF]

open access: yesSIAM/ASA Journal on Uncertainty Quantification, 2019
31 ...
openaire   +3 more sources

Linearly Solvable Stochastic Control Lyapunov Functions [PDF]

open access: yes, 2016
This paper presents a new method for synthesizing stochastic control Lyapunov functions for a class of nonlinear stochastic control systems. The technique relies on a transformation of the classical nonlinear Hamilton-Jacobi-Bellman partial differential ...
Burdick, Joel W.   +2 more
core   +3 more sources

A Proposed Stochastic Finite Difference Approach Based on Homogenous Chaos Expansion

open access: yesJournal of Applied Mathematics, 2013
This paper proposes a stochastic finite difference approach, based on homogenous chaos expansion (SFDHC). The said approach can handle time dependent nonlinear as well as linear systems with deterministic or stochastic initial and boundary conditions. In
O. H. Galal
doaj   +1 more source

On the series solution of the stochastic Newell Whitehead Segel equation

open access: yesAIMS Mathematics, 2023
The purpose of this paper is to present a two-step approach for finding the series solution of the stochastic Newell-Whitehead-Segel (NWS) equation. The proposed two-step approach starts with the use of the Wiener-Hermite expansion (WHE) technique, which
Javed Hussain
doaj   +1 more source

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