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Poisson reduction and the Hamiltonian structure of the Euler-Yang-Mills equations

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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

Poisson reduction and the Hamiltonian structure of the Euler-Yang-Mills equations

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

Structure-Preserving Reduced Basis Methods For Poisson Systems

Scattering Map for the Vlasov–Poisson System

Symplectic dynamical low rank approximation of wave equations with random parameters

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Characteristic classes as complete obstructions

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

A Looping-Delooping Adjunction For Topological Spaces

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

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

Scattering Map for the Vlasov–Poisson System

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

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

Symplectic dynamical low rank approximation of wave equations with random parameters

Characteristic classes as complete obstructions

Structure-Preserving Reduced Basis Methods For Poisson Systems

A Looping-Delooping Adjunction For Topological Spaces

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

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