Results 11 to 20 of about 43,061 (301)

Stochastic model of innovation diffusion that takes into account the changes in the total market volume [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2022
The article proposes a stochastic mathematical model of the diffusion of consumer innovations, which takes into account changes over time in the total number of potential buyers of an innovative product.
Parphenova, Alena Yu., Saraev, Leonid A.
doaj   +1 more source

Efficient Memristive Stochastic Differential Equation Solver

open access: yesAdvanced Intelligent Systems, 2023
Herein, an efficient numerical solver for stochastic differential equations based on memristors is presented. The solver utilizes the stochastic switching effect in memristive devices to simulate the generation of a Brownian path and employs iterative ...
Xuening Dong   +4 more
doaj   +1 more source

L2-convergence of Yosida approximation for semi-linear backward stochastic differential equation with jumps in infinite dimension [PDF]

open access: yesArab Journal of Mathematical Sciences
Purpose – The main motivation of this paper is to present  the Yosida approximation of a semi-linear backward stochastic differential equation in infinite dimension. Under suitable assumption and condition, an L2-convergence rate is established.
Hani Abidi   +3 more
doaj   +1 more source

Large deviations for stochastic Kuramoto–Sivashinsky equation with multiplicative noise

open access: yesNonlinear Analysis, 2021
The Kuramoto–Sivashinsky equation is a nonlinear parabolic partial differential equation, which describes the instability and turbulence of waves in chemical reactions and laminar flames. The aim of this work is to prove the large deviation principle for
Gregory Amali Paul Rose   +2 more
doaj   +1 more source

Stochastic differential equations with jumps [PDF]

open access: yesProbability Surveys, 2004
This paper is a survey of uniqueness results for stochastic differential equations with jumps and regularity results for the corresponding harmonic functions.
Richard F. Bass, Storrs
openaire   +4 more sources

A kind of non-zero sum mixed differential game of backward stochastic differential equation

open access: yesAdvances in Difference Equations, 2020
This paper is concerned with a non-zero sum mixed differential game problem described by a backward stochastic differential equation. Here the term “mixed” means that this game problem contains a deterministic control v1 $v_{1}$ of Player 1 and a random ...
Huanjun Zhang
doaj   +1 more source

STATIONARY SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS WITH MEMORY AND STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS [PDF]

open access: yesCommunications in Contemporary Mathematics, 2005
We explore Itô stochastic differential equations where the drift term possibly depends on the infinite past. Assuming the existence of a Lyapunov function, we prove the existence of a stationary solution assuming only minimal continuity of the coefficients.
Jonathan C. Mattingly   +3 more
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

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

Maple for Stochastic Differential Equations [PDF]

open access: yes, 2001
This paper introduces the MAPLE software package stochastic consisting of MAPLE routines for stochastic calculus and stochastic differential equations and for constructing basic numerical methods for specific stochastic differential equations, with simple examples illustrating the use of the routines.
Grüne, Lars   +2 more
openaire   +3 more sources

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