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The Momentum Map, Symplectic Reduction and an Introduction to Brownian Motion

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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

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dynamica ...

2017

The Momentum Map, Symplectic Reduction and an Introduction to Brownian Motion

Graph Chatbot

Chattez avec Graph Search

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

Symplectic Model-Reduction with a Weighted Inner Product

Noether Theorems and Quantum Anomalies

Structure preserving model reduction of parametric 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

Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems

Multisymplectic variational integrators and space/time symplecticity

Bloch theorem with revised boundary conditions applied to glide and screw symmetric, quasi-one-dimensional structures

Eigenfunction expansions of ultradifferentiable functions and ultradistributions

MATHICSE Technical Report : 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

Structure preserving model reduction of parametric Hamiltonian systems

Symplectic Model-Reduction with a Weighted Inner Product

Multisymplectic variational integrators and space/time symplecticity

Bloch theorem with revised boundary conditions applied to glide and screw symmetric, quasi-one-dimensional structures

Noether Theorems and Quantum Anomalies

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems

Eigenfunction expansions of ultradifferentiable functions and ultradistributions