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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. |
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Parent Directory -
README 17-Oct-2020 04:49 807
dakota.SlackBuild 29-Aug-2020 05:15 3.1K
dakota.csh 14-Jun-2018 16:00 228
dakota.info 29-Aug-2020 05:15 358
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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