slackbuilds_ponce/academic/dakota
Heinz Wiesinger 7f26b9929f
All: SlackBuilds run in the directory they are in
Signed-off-by: Heinz Wiesinger <pprkut@slackbuilds.org>

Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
2021-07-05 16:01:32 +07:00
..
dakota.csh
dakota.info
dakota.sh
dakota.SlackBuild All: SlackBuilds run in the directory they are in 2021-07-05 16:01:32 +07:00
doinst.sh
README
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 (for distributed memory parallel
capabilities)

You can build with multiple jobs by setting the MAKEFLAGS environment
variable.