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l2-opt-interp-ex

L2-optimal interpolation experiments

https://github.com/pmli/l2-opt-interp-ex

Science Score: 54.0%

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    Links to: arxiv.org
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research-data
Last synced: 6 months ago · JSON representation ·

Repository

L2-optimal interpolation experiments

Basic Info
  • Host: GitHub
  • Owner: pmli
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 14.6 KB
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  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
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research-data
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Code for Numerical Experiments in "A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling"

This repository contains code for numerical experiments reported in

P. Mlinarić, S. Gugercin, A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling, arXiv preprint, 2022

Installation

To run the examples, at least Python 3.8 is needed (the code was tested using Python 3.8.12).

The necessary packages are listed in requirements.txt. They can be installed in a virtual environment by, e.g.,

bash python3 -m venv .venv source .venv/bin/activate pip install -U pip setuptools wheel pip install -r requirements.txt

Running the Experiments

The experiments are given as runme_*.py scripts. They can be opened as Jupyter notebooks via jupytext (included when installing via requirements.txt).

Author

Petar Mlinarić:

  • affiliation: Virginia Tech
  • email: mlinaric@vt.edu
  • ORCiD: 0000-0002-9437-7698

License

The code is published under the MIT license. See LICENSE.

Owner

  • Name: Petar Mlinarić
  • Login: pmli
  • Kind: user
  • Location: Blacksburg, VA, USA
  • Company: Virginia Tech

Applied math postdoc at Virginia Tech

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
preferred-citation:
  type: unpublished
  authors:
  - family-names: "Mlinarić"
    given-names: "Petar"
    orcid: "https://orcid.org/0000-0002-9437-7698"
  - family-names: "Gugercin"
    given-names: "Serkan"
    orcid: "https://orcid.org/0000-0003-4564-5999"
  doi: "10.48550/arXiv.2209.00714"
  note: "arXiv preprint 2209.00714"
  title: "A Unifying Framework for Interpolatory {$\\mathcal{L}_2$}-optimal Reduced-order Modeling"
  year: 2022

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Dependencies

requirements.txt pypi
  • PyOpenGL ==3.1.6
  • PyQt5 ==5.15.7
  • flake8 ==5.0.4
  • flake8-docstrings ==1.6.0
  • ipywidgets ==8.0.1
  • jupytext ==1.14.1
  • matplotlib ==3.5.3
  • notebook ==6.4.12
  • numpy ==1.23.2
  • pymor ==2022.1.1
  • scipy ==1.9.1