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Poisson manifold

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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 manifold

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The tropical momentum map: a classification of toric log symplectic manifolds

Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

Spectral methods for multiscale stochastic differential equations

MATHICSE Technical Report : Spectral methods for multiscale stochastic differential equations

Multisymplectic Variational Integrators For Nonsmooth Lagrangian Continuum Mechanics

Proximity Operators for Phase Retrieval

L-2-cohomology and complete Hamiltonian manifolds

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

Proximity Operators for Phase Retrieval

Multisymplectic Variational Integrators For Nonsmooth Lagrangian Continuum Mechanics

The tropical momentum map: a classification of toric log symplectic manifolds

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

Spectral methods for multiscale stochastic differential equations

L-2-cohomology and complete Hamiltonian manifolds

MATHICSE Technical Report : Spectral methods for multiscale stochastic differential equations