Results 21 to 30 of about 315,767 (274)

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

The Master Equation for Large Population Equilibriums [PDF]

open access: yes, 2014
We use a simple N-player stochastic game with idiosyncratic and common noises to introduce the concept of Master Equation originally proposed by Lions in his lectures at the Coll\`ege de France.
D Nualart   +10 more
core   +4 more sources

Modified Equations for Stochastic Differential Equations [PDF]

open access: yesBIT Numerical Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Mathematica code for numerical generation of random process with given distribution and exponential autocorrelation function

open access: yesSoftwareX, 2018
Stochastic simulations commonly require random process generation with a predefined probability density function (PDF) and an exponential autocorrelation function (ACF).
D. Bykhovsky
doaj   +1 more source

An Averaging Principle for Mckean–Vlasov-Type Caputo Fractional Stochastic Differential Equations

open access: yesJournal of Mathematics, 2021
In this paper, we want to establish an averaging principle for Mckean–Vlasov-type Caputo fractional stochastic differential equations with Brownian motion.
Weifeng Wang   +3 more
doaj   +1 more source

Identification and estimation of continuous time dynamic systems with exogenous variables using panel data [PDF]

open access: yes, 1993
This paper deals with the identification and maximum likelihood estimation of the parameters of a stochastic differential equation from discrete time sampling. Score function and maximum likelihood equations are derived explicitly.
Hamerle, Alfred   +2 more
core   +1 more source

Construction of special soliton solutions to the stochastic Riccati equation

open access: yesOpen Mathematics, 2022
A scheme for the analytical stochastization of ordinary differential equations (ODEs) is presented in this article. Using Itô calculus, an ODE is transformed into a stochastic differential equation (SDE) in such a way that the analytical solutions of the
Navickas Zenonas   +4 more
doaj   +1 more source

On Caputo–Katugampola Fractional Stochastic Differential Equation

open access: yesMathematics, 2022
We consider the following stochastic fractional differential equation CD0+α,ρφ(t)=κϑ(t,φ(t))w˙(t), 00 represents the noise level. The main result of the paper focuses on the energy growth bound and the asymptotic behaviour of the random solution ...
McSylvester Ejighikeme Omaba   +1 more
doaj   +1 more source

Stochastic Differential Equations

open access: yesJournal of Multivariate Analysis, 1974
AbstractWhen a system is acted upon by exterior disturbances, its time-development can often be described by a system of ordinary differential equations, provided that the disturbances are smooth functions. But for sound reasons physicists and engineers usually want the theory to apply when the noises belong to a larger class, including for example ...
openaire   +1 more source

Averaging Principle for Caputo Fractional Stochastic Differential Equations Driven by Fractional Brownian Motion with Delays

open access: yesComplexity, 2021
In this article, we investigate a class of Caputo fractional stochastic differential equations driven by fractional Brownian motion with delays. Under some novel assumptions, the averaging principle of the system is obtained.
Pengju Duan, Hao Li, Jie Li, Pei Zhang
doaj   +1 more source

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