Pyomo.DoE 2.0: Improved Usability and Computational Efficiency for Science-Based Design of Experiments (SBDoE)
Conference paper explaining the new user interface and software design for the Pyomo.DoE and ParmEst packages. An example utilizing these packages will be presented, showcasing modeling capabilities, and capabilities for handling complex models that have been developed within the PrOMMiS and CCSI2 ecosystems.
Authors
- Katherine A. Klise (ORCID: https://orcid.org/0000-0003-2854-1848)
- Alexander W. Dowling (ORCID: https://orcid.org/0000-0001-9383-7499)
- John D. Siirola
- Daniel J. Laky (ORCID: https://orcid.org/0000-0002-3917-8039)
- Bethany L. Nicholson (ORCID: https://orcid.org/0000-0003-4572-577X)
- Jialu Wang (ORCID: https://orcid.org/0000-0002-1844-8685)
- Shawn Martin (ORCID: https://orcid.org/0000-0002-9128-5528)
Institutions
- University of Notre Dame (US)
- Sandia National Laboratories (US)
Publication Details
- Published
- 2024-10-28
- DOI
- https://doi.org/10.2172/2478217
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00