On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations-Reference-Cited by-同舟云学术

On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations

Published:2021-01 Issue: Volume:425 Page:109907
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Darbon Jérôme^ORCID,Meng Tingwei

Funder

National Science Foundation

Air Force Office of Scientific Research

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference118 articles.

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3. Calculus of Variations and Partial Differential Equations of the First Order. Part II: Calculus of Variations;Carathéodory,1967

4. Methods of Mathematical Physics, vol. II;Courant,1989

5. Course of Theoretical Physics, vol. 1;Landau,1978

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