News

Dakota 6.13

Released: November 16, 2020

Highlight: Dakota GUI Updates

  • Chartreuse
    • New "Sandbox View" for fast visualizations of generic data using Chartreuse.
    • Support added to Chartreuse for CSV files
    • Four-dimensional Chartreuse scatter plots (i.e. time-based node coloring)
  • Dakota Input File Editing
    • New form-based editors for Dakota interface blocks and hybrid method blocks.
    • Limited support for visualization of Dakota uncertainty variables (normal, lognormal, weibull)
    • Pre-processing markup supported in Dakota text editor, which also provides a new mechanism for assigning multiple NGW-based analysis drivers at runtime.
    • Dark theme support for Dakota text editor
  • QOI
    • New column-based QOI extractors for extracting fields from tabular/CSV-based data
    • Warning: The qoiExtractor node in Next-Gen Workflow has received backwards-incompatible changes. You must delete your qoiExtractor nodes and reconfigure them upon switching to 6.13
  • Misc.
    • "dprepro" node added to Next-Gen Workflow
    • General enhancements for the New Dakota Study wizard

Dakota 6.12

Released: May 15, 2020
Release Highlights:

  • The efficient_global method for optimization and least squares now supports concurrent refinement (adding multiple points).
  • (Experimental) The MIT Uncertainty Quantification (MUQ) MUQ2 library (Parno, Davis, Marzouk, et al.) enhances Dakota's Bayesian inference capability with new Markov Chain Monte Carlo (MCMC) sampling methods. MCMC samplers available in Dakota (under method > bayes_calibration > muq) include Metropolis-Hastings and Adaptive Metropolis. Future work will activate MUQ's more advanced samplers, including surrogate-based and derivative-enhanced sampling, as well as delayed rejection schemes.
  • (Experimental) Dakota 6.12 extends functional tensor train (FTT) surrogate models from the C3 library (Gorodetsky, University of Michigan) to support building FTT approximations across a sequence of model fidelities (multifidelity FTT) or model resolutions (multilevel FTT).