SlackBuilds Repository

14.2 > Academic > dakota (6.8)

The Dakota toolkit provides a flexible, extensible interface between
analysis codes and iteration 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 capabilities. These capabilities may be used on
their own or as components within advanced strategies such as
surrogate-based optimization, mixed integer nonlinear programming, or
optimization under uncertainty.

Optional dependency: openmpi

This requires: blas, lapack

Maintained by: Lorenzo Trevisan
Keywords: optimization,DoE
ChangeLog: dakota


Source Downloads:
dakota-6.8-release-public.src-UI.tar.gz (85375e8c4df406fe017beda63ab28215)

Download SlackBuild:
dakota.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:

Validated for Slackware 14.2

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

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