News

Dakota 6.6

Released: May 12, 2017
Release Highlights:

  • Plotly Plotting Integration.
  • Generalize multifidelity surrogate-based local optimization to recur across multiple model fidelities, instead of just two.
  • Preliminary model discrepancy implementation.
  • Dakota now requires CMake 2.8.12.
  • Dakota recommends Boost 1.53.0 (minimum 1.49).
  • Dakota version 6.6 is last version that will not require C++11 compiler.

Sandia Research Magazine

A "Looking Back" article in the February 2016 Sandia Research Magazine (see last page) refle

 

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 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.

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