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Structure preserving model reduction of parametric Hamiltonian systems

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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

Structure preserving model reduction of parametric Hamiltonian systems

Graph Chatbot

Chattez avec Graph Search

Symplectic Model-Reduction with a Weighted Inner Product

Geometric Model Order Reduction

On the theory of drainage area for regular and non-regular points

Dynamical Low Rank approximation of PDEs with random parameters

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

Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems

Methods and systems for low-power and pin-efficient communications with superposition signaling codes

Image coding with incomplete transforms competition for HEVC

Modified group delay feature based total variability space modelling for speaker recognition

Symplectic Model-Reduction with a Weighted Inner Product

Geometric Model Order Reduction

On the theory of drainage area for regular and non-regular points

Dynamical Low Rank approximation of PDEs with random parameters

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems

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

Image coding with incomplete transforms competition for HEVC

Methods and systems for low-power and pin-efficient communications with superposition signaling codes

Modified group delay feature based total variability space modelling for speaker recognition