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Champ de vecteurs hamiltonien

Publications associées (35)

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Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Fabio Nobile, Eleonora Musharbash

In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of

2S

dynamica ...

2017

Champ de vecteurs hamiltonien

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Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

Rank-adaptive structure-preserving model order reduction of Hamiltonian systems

Unraveling looping efficiency of stochastic Cosserat polymers

Scattering Map for the Vlasov–Poisson System

Structure-Preserving Reduced Basis Methods For Poisson Systems

Symplectic dynamical low rank approximation of wave equations with random parameters

Dynamical Reduced Basis Methods for Hamiltonian Systems

Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a Nonlinear Poisson Structure

Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a State-dependent Poisson Structure

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Scattering Map for the Vlasov–Poisson System

Rank-adaptive structure-preserving model order reduction of Hamiltonian systems

Structure-Preserving Reduced Basis Methods For Poisson Systems

Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

Symplectic dynamical low rank approximation of wave equations with random parameters

Dynamical Reduced Basis Methods for Hamiltonian Systems

Unraveling looping efficiency of stochastic Cosserat polymers

Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a Nonlinear Poisson Structure

Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a State-dependent Poisson Structure