Dakota 6.17

[jadamstephens]

Announcing Dakota Version 6.17

Dakota 6.17 is officially available for download from https://dakota.sandia.gov/download.html

Highlight: Integrated User Manual

Dakota 6.17 includes a beta version of a new Sphinx-based integrated user manual. It aggregates content from the historical User’s, Theory, and Reference manuals, as well as the Dakota website. Feedback on this new compendium is invited.

Enabling / Accessing: Primarily at https://dakota.sandia.gov/sites/default/files/docs/6.17.0-release/user-html/index.html, also in <dakota_src>/docs/user.

Highlight: User Support Moves to GitHub

External user support is moving to GitHub Discussions. Discussions offers many advantages over the dakota-users listserv, including threaded conversations, advanced formatting via markdown, LaTeX-formatted mathematical expressions, and more.

We plan to operate dakota-users and the new Discussions forums concurrently until February 15, 2023, when dakota-users will be shut down.

Enabling / Accessing: Create an account on https://github.com/ and visit Dakota’s Discussions page.

View the complete release notes for the 6.17 release at https://dakota.sandia.gov/sites/default/files/docs/6.17.0-release/user-html/misc/releasenotes/617.html

What is Dakota?

The Dakota toolkit provides a flexible, extensible interface between analysis codes and iterative systems analysis methods. Dakota contains algorithms for:

• optimization with gradient and nongradient-based methods;
• uncertainty quantification with sampling, reliability, stochastic expansion, and epistemic methods;
• parameter estimation with nonlinear least squares and Bayesian methods; and
• sensitivity/variance analysis with design of experiments and parameter study methods.

These capabilities may be used on their own or as components within advanced strategies such as hybrid optimization, surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. Learn more at https://dakota.sandia.gov/content/about