The Dakota team is organizing a minisymposium at the upcoming 17th U.S. National Congress on Computational Mechanics, which will be held in Albuquerque, NM during the week of July 23-27, 2023.
Driven by Sandia National Laboratories’ applications, the Dakota project (http://dakota.sandia.gov) invests in both state-of-the-art research and robust, usable software for optimization and uncertainty quantification (UQ). Written in C++, the Dakota toolkit provides a flexible, extensible interface between simulation codes and a variety of iterative systems analysis methods. Dakota enables the users to run, with a minimal setup overhead, a variety of algorithms. Dakota’s methods include optimization, uncertainty quantification, parameter estimation, and sensitivity analysis, which may be used individually or as components within surrogate- or sampling-based strategies and other advanced techniques, as for instance multifidelity UQ. The software is available publicly under an open source license and is used broadly by academic, government, and corporate institutions. In this minisymposium, we will accept contributions describing Dakota algorithm and usability developments. We also solicit contributions focused on advanced application of Dakota capabilities to science and engineering problems, whether academic or industrial.
Abstract