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
Maintained by: Lorenzo Trevisan
Keywords: optimization,DoE
ChangeLog: dakota
Homepage:
http://dakota.sandia.gov/
Download SlackBuild:
dakota.tar.gz
dakota.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
dakota.SlackBuild |
dakota.csh |
dakota.info |
dakota.sh |
doinst.sh |
slack-desc |
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