https://github.com/sandialabs/hamiltonianopinf
This repo contains files for reproducing results in the following paper:Canonical and Noncanonical Hamiltonian Operator Inference
https://github.com/sandialabs/hamiltonianopinf
scr-2917 snl-data-analysis
Last synced: 5 months ago
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This repo contains files for reproducing results in the following paper:Canonical and Noncanonical Hamiltonian Operator Inference
- Host: GitHub
- URL: https://github.com/sandialabs/hamiltonianopinf
- Owner: sandialabs
- Created: 2023-03-25T18:39:01.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-05-19T20:24:42.000Z (about 1 year ago)
- Last Synced: 2025-05-19T21:31:54.690Z (about 1 year ago)
- Topics: scr-2917, snl-data-analysis
- Language: Objective-C++
- Homepage:
- Size: 12.1 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This repo contains branches with files needed to reproduce results in the following papers:
A. Gruber, I. Tezaur. "Canonical and Noncanonical Hamiltonian Operator Inference", CMAME 2023.
A. Gruber, I. Tezaur. "Variationally Consistent Hamiltonian Model Reduction", SIADS 2024.
Branch "master" corresponds to the CMAME paper and branch "var-consistent" corresponds to the SIADS paper. Codes in these branches are not cross-compatible (sorry).
The various .ipynb/.py files can be run straight down to reproduce the results in the papers. The *_utils.py files contain the source code for the method.
This data has been approved for external release with SAND number: SAND2023-01206O.
This code was released with DOE's permission under SCR#:2917.0.