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Pyomo.DoE 2.0: Improved Usability and Computational Efficiency for Science-Based Design of Experiments (SBDoE)

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.2172/2478217

Authors: Daniel Laky, Katherine Klise, Shawn Martin, Jialu Wang, Bethany Nicholson, John Siirola, Alexander Dowling

Institutions: University of Notre Dame, Sandia National Laboratories California, Sandia National Laboratories

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

OpenAlex ID: W4404730458

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