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Canonical and Noncanonical Hamiltonian Operator Inference

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/HamiltonianOpInf
https://doi.org/10.11578/dc.20241017.2

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Abstract

SAND2024-08577O Canonical and Noncanonical Hamiltonian Operator Inference is research code that applies old and new model reduction algorithms to well-known and publicly available "toy" problems. It applies operator inference (OpInf) methods for model reduction to several benchmark hyperbolic partial differential equations: linear wave, Korteweg-de Vries, Benjamin-Bona-Mahoney, and linear elasticity. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Tezaur, Irina [1][2][3] ;  Gruber, Anthony [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2023-05-18
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python 3.8
Version:
1.0
Licenses:
Other (Commercial or Open-Source): https://ip.sandia.gov
Sponsoring Org.:
Code ID:
145733
Site Accession Number:
SCR#2917.0
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States
Keywords:
SciDAC

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/HamiltonianOpInf
https://doi.org/10.11578/dc.20241017.2

SAVE / SHARE



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SciDAC Badge

Citation Formats

Tezaur, Irina, and Gruber, Anthony. Canonical and Noncanonical Hamiltonian Operator Inference. Computer Software. https://github.com/sandialabs/HamiltonianOpInf. USDOE. 18 May. 2023. Web. doi:10.11578/dc.20241017.2.
Tezaur, Irina, & Gruber, Anthony. (2023, May 18). Canonical and Noncanonical Hamiltonian Operator Inference. [Computer software]. https://github.com/sandialabs/HamiltonianOpInf. https://doi.org/10.11578/dc.20241017.2.
Tezaur, Irina, and Gruber, Anthony. "Canonical and Noncanonical Hamiltonian Operator Inference." Computer software. May 18, 2023. https://github.com/sandialabs/HamiltonianOpInf. https://doi.org/10.11578/dc.20241017.2.
@misc{ doecode_145733,
title = {Canonical and Noncanonical Hamiltonian Operator Inference},
author = {Tezaur, Irina and Gruber, Anthony},
abstractNote = {SAND2024-08577O Canonical and Noncanonical Hamiltonian Operator Inference is research code that applies old and new model reduction algorithms to well-known and publicly available "toy" problems. It applies operator inference (OpInf) methods for model reduction to several benchmark hyperbolic partial differential equations: linear wave, Korteweg-de Vries, Benjamin-Bona-Mahoney, and linear elasticity. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20241017.2},
url = {https://doi.org/10.11578/dc.20241017.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20241017.2}},
year = {2023},
month = {may}
}