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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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Spatial Risk Measures and Rate of Spatial Diversification

Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

New Approach to Identifying Critical Initial Conditions for Extreme Flood Simulations in a Semicontinuous Simulation Framework

Unlabeled Sensing with Random Linear Measurements

Polarization of the Renyi Information Dimension With Applications to Compressed Sensing

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Multi-Modal Mean-Fields via Cardinality-Based Clamping

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

Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins

Polarization of the Renyi Information Dimension With Applications to Compressed Sensing

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Multi-Modal Mean-Fields via Cardinality-Based Clamping

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

Spatial Risk Measures and Rate of Spatial Diversification

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Unlabeled Sensing with Random Linear Measurements

New Approach to Identifying Critical Initial Conditions for Extreme Flood Simulations in a Semicontinuous Simulation Framework