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Publications associées (32)

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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

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Dynamical Reduced Basis Methods for Hamiltonian Systems

Procrustes Metrics and Optimal Transport for Covariance Operators

Tangential phase-contrast imaging for fluctuation measurements in JT–60SA: a conceptual study

Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions

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

Dynamical Low Rank approximation of PDEs with random parameters

Signal structure: from manifolds to molecules and structured sparsity

Tangent-based manifold approximation with locally linear models

The geometry of algorithms using hierarchical tensors

Dynamical Low Rank approximation of PDEs with random parameters

The geometry of algorithms using hierarchical tensors

Dynamical Reduced Basis Methods for Hamiltonian Systems

Procrustes Metrics and Optimal Transport for Covariance Operators

Tangential phase-contrast imaging for fluctuation measurements in JT–60SA: a conceptual study

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

Signal structure: from manifolds to molecules and structured sparsity

Tangent-based manifold approximation with locally linear models

Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions

Symplectic Dynamical Low Rank approximation of wave equations with random parameters