Numerical simulation of stochastic replicator models in catalyzed RNA-like polymers
DOI10.1016/j.matcom.2009.04.018zbMath1173.82387OpenAlexW1971365889MaRDI QIDQ730885
Mostafa Zahri, Andreas Rößler, Mohammed Seaid
Publication date: 1 October 2009
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2009.04.018
method of linesreaction-diffusion equationsadditive noisestochastic Runge-Kutta schemesstochastic replicator models
Reaction-diffusion equations (35K57) Statistical mechanics of polymers (82D60) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (2)
Cites Work
- Wick-stochastic finite element solution of reaction-diffusion problems
- Runge-Kutta methods for affinely controlled nonlinear systems
- Method of lines for stochastic boundary-value problems with additive noise
- Spatial dynamics of a model for prebiotic evolution
- Runge-Kutta methods for Stratonovich stochastic differential equation systems with commutative noise.
- Stabilization of partial differential equations by noise
- Advances in artificial life. Third European conference on artificial life, Granada, Spain, June 4-6, 1995. Proceedings
- Second order Runge-Kutta methods for Stratonovich stochastic differential equations
- Runge-Kutta methods for Itô stochastic differential equations with scalar noise
- Stabilisation of linear PDEs by Stratonovich noise
- Rooted Tree Analysis for Order Conditions of Stochastic Runge-Kutta Methods for the Weak Approximation of Stochastic Differential Equations
This page was built for publication: Numerical simulation of stochastic replicator models in catalyzed RNA-like polymers