Symplectic numerical integration for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus

Cites Work

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Numerical methods for the mean exit time and escape probability of two-dimensional stochastic dynamical systems with non-Gaussian noises
Maximum norm error bound of a linearized difference scheme for a coupled nonlinear Schrödinger equations
An averaging principle for stochastic dynamical systems with Lévy noise
Inequalities for differential and integral equations
Shadowing orbits of a class of random differential equations
Symplectic integrators to stochastic Hamiltonian dynamical systems derived from composition methods
Symplectic integration of stochastic Hamiltonian systems
A novel discrete Gronwall inequality in the analysis of difference schemes for time-fractional multi-delayed diffusion equations
Hamiltonian systems with Lévy noise: symplecticity, Hamilton's principle and averaging principle
Symplectic scheme for the Schrödinger equation with fractional Laplacian
Marcus versus Stratonovich for systems with jump noise
Symplectic Geometric Algorithms for Hamiltonian Systems
Modeling and approximation of stochastic differential equations driven by semimartingales^†
Symplectic Integration of Hamiltonian Systems with Additive Noise
Numerical Methods for Stochastic Systems Preserving Symplectic Structure
Lévy Processes and Stochastic Calculus
Algebraic structures and stochastic differential equations driven by Lévy processes

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