A Bayesian framework for learning governing partial differential equation from data-Reference-Cited by-同舟云学术

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A Bayesian framework for learning governing partial differential equation from data

Published:2023-12 Issue: Volume:456 Page:133927
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

More Kalpesh Sanjay,Tripura Tapas^ORCID,Nayek Rajdip,Chakraborty Souvik

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference38 articles.

1. Partial Differential Equations: An Introduction;Strauss,2007

2. Partial Differential Equations;Wazwaz,2002

3. Soliton solution of some nonlinear partial differential equations and its applications in fluid mechanics;Helal;Chaos Solitons Fractals,2002

4. Nonlinear Partial Differential Equations with Applications, Vol. 153;Roubíček,2013

5. A nonlocal operator method for partial differential equations with application to electromagnetic waveguide problem;Rabczuk;Comput. Mater. Continua,2019

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2. Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems;Computer Methods in Applied Mechanics and Engineering;2024-07

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