Stochastic systems, phase flows of which have integral invariants, are considered. Hamiltonian systems with additive noise being a wide class of such systems possess the property of preserving symplectic structure. For them, numerical methods preserving the symplectic structure are constructed. A special attention is paid to systems with separable Hamiltonians, to second order differential equations with additive noise, and to Hamiltonian systems with small additive noise
Abstract. Stochastic action integral and Lagrange formalism of stochastic Hamiltonian systems are wr...
Consider a stochastic differential equation whose diffusion vector fields are formed from an integra...
International audienceA new class of energy-preserving numerical schemes for stochastic Hamiltonian ...
Hamiltonian systems with additive noise possess the property of preserving symplectic structure. Num...
Stochastic systems with multiplicative noise, phase flows of which have integral invariants, are con...
Stochastic Hamiltonian systems with multiplicative noise, phase flows of which preserve symplectic s...
Abstract. Stochastic Hamiltonian systems with multiplicative noise, phase flows of which preserve sy...
Langevin type equations are an important and fairly large class of systems close to Hamiltonian ones...
Full-text article is free to read on the publisher website. In this paper we extend the ideas of Bru...
Langevin type equations are an important and fairly large class of systems close to Hamiltonian ones...
Stochastic differential equations (SDEs) are used to describe several real-life phenomena whose unde...
Variational integrators are derived for structure-preserving simulation of stochastic Hamiltonian sy...
AbstractIn this paper the numerical integration of integrable Hamiltonian systems is considered. Sym...
Noise-induced stabilization is the phenomenon in which the addition of randomness to an unstable det...
AbstractWe introduce the definition of state-dependent symplecticity as a useful tool of investigati...
Abstract. Stochastic action integral and Lagrange formalism of stochastic Hamiltonian systems are wr...
Consider a stochastic differential equation whose diffusion vector fields are formed from an integra...
International audienceA new class of energy-preserving numerical schemes for stochastic Hamiltonian ...
Hamiltonian systems with additive noise possess the property of preserving symplectic structure. Num...
Stochastic systems with multiplicative noise, phase flows of which have integral invariants, are con...
Stochastic Hamiltonian systems with multiplicative noise, phase flows of which preserve symplectic s...
Abstract. Stochastic Hamiltonian systems with multiplicative noise, phase flows of which preserve sy...
Langevin type equations are an important and fairly large class of systems close to Hamiltonian ones...
Full-text article is free to read on the publisher website. In this paper we extend the ideas of Bru...
Langevin type equations are an important and fairly large class of systems close to Hamiltonian ones...
Stochastic differential equations (SDEs) are used to describe several real-life phenomena whose unde...
Variational integrators are derived for structure-preserving simulation of stochastic Hamiltonian sy...
AbstractIn this paper the numerical integration of integrable Hamiltonian systems is considered. Sym...
Noise-induced stabilization is the phenomenon in which the addition of randomness to an unstable det...
AbstractWe introduce the definition of state-dependent symplecticity as a useful tool of investigati...
Abstract. Stochastic action integral and Lagrange formalism of stochastic Hamiltonian systems are wr...
Consider a stochastic differential equation whose diffusion vector fields are formed from an integra...
International audienceA new class of energy-preserving numerical schemes for stochastic Hamiltonian ...