Wang, Peng; Hong, Jialin; Xu, Dongsheng Construction of symplectic Runge-Kutta methods for stochastic Hamiltonian systems. (English) Zbl 1388.65183 Commun. Comput. Phys. 21, No. 1, 237-270 (2017). Summary: We study the construction of symplectic Runge-Kutta methods for stochastic Hamiltonian systems (SHS). Three types of systems, SHS with multiplicative noise, special separable Hamiltonians and multiple additive noise, respectively, are considered in this paper. Stochastic Runge-Kutta (SRK) methods for these systems are investigated, and the corresponding conditions for SRK methods to preserve the symplectic property are given. Based on the weak/strong order and symplectic conditions, some effective schemes are derived. In particular, using the algebraic computation, we obtained two classes of high weak order symplectic Runge-Kutta methods for SHS with a single multiplicative noise, and two classes of high strong order symplectic Runge-Kutta methods for SHS with multiple multiplicative and additive noise, respectively. The numerical case studies confirm that the symplectic methods are efficient computational tools for long-term simulations. Cited in 10 Documents MSC: 65P10 Numerical methods for Hamiltonian systems including symplectic integrators 65C30 Numerical solutions to stochastic differential and integral equations 60H35 Computational methods for stochastic equations (aspects of stochastic analysis) PDFBibTeX XMLCite \textit{P. Wang} et al., Commun. Comput. Phys. 21, No. 1, 237--270 (2017; Zbl 1388.65183) Full Text: DOI Link