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Contents of README: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). |
Name Last modified Size
Parent Directory - README 30-Jul-2022 06:29 859 dakota.SlackBuild 22-Dec-2023 02:04 3.8K dakota.csh 14-Jun-2018 16:00 228 dakota.info 22-Dec-2023 02:04 601 dakota.sh 14-Jun-2018 16:00 229 doinst.sh 14-Jun-2018 16:00 646 slack-desc 14-Jun-2018 16:00 952
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