Generating functions for stochastic symplectic methods
DOI10.3934/dcds.2014.34.1211zbMath1278.65006OpenAlexW2332515471MaRDI QIDQ379801
Publication date: 11 November 2013
Published in: Discrete and Continuous Dynamical Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/dcds.2014.34.1211
generating functionsnumerical examplessymplectic integrationstochastic Hamiltonian systemsstochastic symplectic methodsHamilton-Jacobi PDEssymplecticity
Numerical computation of solutions to systems of equations (65H10) Ordinary differential equations and systems with randomness (34F05) Generation, random and stochastic difference and differential equations (37H10) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30) Numerical methods for Hamiltonian systems including symplectic integrators (65P10) Discretization methods and integrators (symplectic, variational, geometric, etc.) for dynamical systems (37M15)
Related Items (14)
Cites Work
- The stochastic Hamilton-Jacobi equation
- Numerical simulation of a linear stochastic oscillator with additive noise
- Symplectic conditions and stochastic generating functions of stochastic Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise
- Predictor-corrector methods for a linear stochastic oscillator with additive noise
- Order Conditions of Stochastic Runge--Kutta Methods by B-Series
- An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations
- Discrete Hamiltonian variational integrators
- Symplectic Integration of Hamiltonian Systems with Additive Noise
- Numerical Methods for Stochastic Systems Preserving Symplectic Structure
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