Dakota 6.10

Released: May 15, 2019
Release Highlights:

  • Evaluation data (variables and responses) may now be output to disk in HDF5 format. HDF5 support has been added to all of our downloads. See the Dakota HDF5 Output section of the Reference Manual for full details.
  • Capabilities for multilevel polynomial chaos expansion (ML PCE) and stochastic collocation (MC SC) have been expanded and hardened to improve their efficiency, completeness, and accuracy.

Dakota 6.9

Released: November 15, 2018
Release Highlights:

  • Dakota can now output method results to HDF5
  • Dakota's graphical user interface (GUI) was updated with several new features including the Dakota Study Wizard.
  • Bayesian calibration capabilities received several enhancments, including model evidence calculation with Monte Carlo sampling and 2nd-order local Laplace approximation


The Dakota project delivers both state-of-the-art research and robust, usable software for optimization and UQ. Broadly, the Dakota software's advanced parametric analyses enable design exploration, model calibration, risk analysis, and quantification of margins and uncertainty with computational models. The Dakota toolkit provides a flexible, extensible interface between such simulation codes and its iterative systems analysis methods, which include:

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