Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling

DOI10.1016/j.cma.2024.117194MaRDI QIDQ6595859

Unnamed Author, Harsh Sharma, Boris Kramer, Nicholas Galioto

Publication date: 30 August 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

multiplicative noise deep learning high-dimensional systems physics-informed machine learning Bayesian system identification nonseparable Hamiltonian systems

Mathematics Subject Classification ID

Bayesian inference (62F15) Hamilton's equations (70H05) Numerical analysis or methods applied to Markov chains (65C40) Numerical methods for Hamiltonian systems including symplectic integrators (65P10)

This page was built for publication: Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling