slackbuilds_ponce/academic/dakota
fourtysixandtwo 0aedf3e296
academic/dakota: Fix redundant deps.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
2023-12-22 07:59:38 +07:00
..
dakota.csh
dakota.info academic/dakota: Fix redundant deps. 2023-12-22 07:59:38 +07:00
dakota.sh
dakota.SlackBuild academic/dakota: Updated for version 6.19.0. 2023-12-21 23:14:41 +07:00
doinst.sh
README academic/dakota: Updated for version 6.16.0. 2022-07-30 11:26:22 +07:00
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 (for distributed memory parallel
capabilities)

You can build with multiple jobs by setting the MAKEFLAGS environment
variable (e.g. export MAKEFLAGS="-j$(nproc)" at bash prompt).