slackbuilds_ponce/academic/dakota
Lorenzo Trevisan 2b3ebf4023 academic/dakota: Added (optimization toolkit).
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
2017-09-23 16:12:38 +01:00
..
dakota.csh
dakota.info
dakota.sh
dakota.SlackBuild
doinst.sh
README academic/dakota: Added (optimization toolkit). 2017-09-23 16:12:38 +01:00
slack-desc

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