- Update to 6.17
* Too many changes to list, for details see
https://dakota.sandia.gov/content/dakota-617
- Move (unversioned) libraries from devel subpackage to main
package.
- Clean up spec file, remove some packaging issues
OBS-URL: https://build.opensuse.org/request/show/1046028
OBS-URL: https://build.opensuse.org/package/show/science/dakota?expand=0&rev=6
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Sun Jan 1 15:50:18 UTC 2023 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
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- Update to 6.17
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* Too many changes to list, for details see
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https://dakota.sandia.gov/content/dakota-617
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- Move (unversioned) libraries from devel subpackage to main
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package.
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- Clean up spec file, remove some packaging issues
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Tue Aug 11 21:28:31 UTC 2020 - Chris Coutinho <chrisbcoutinho@gmail.com>
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- Update to 6.12
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* The efficient_global method for optimization and least squares now
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supports concurrent refinement (adding multiple points).
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* (Experimental) The MIT Uncertainty Quantification (MUQ) MUQ2 library
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(Parno, Davis, Marzouk, et al.) enhances Dakota's Bayesian inference
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capability with new Markov Chain Monte Carlo (MCMC) sampling methods.
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MCMC samplers available in Dakota (under method > bayes_calibration >
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muq) include Metropolis-Hastings and Adaptive Metropolis. Future work
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will activate MUQ's more advanced samplers, including surrogate-based
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and derivative-enhanced sampling, as well as delayed rejection schemes.
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* (Experimental) Dakota 6.12 extends functional tensor train (FTT)
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surrogate models from the C3 library (Gorodetsky, University of
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Michigan) to support building FTT approximations across a sequence of
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model fidelities (multifidelity FTT) or model resolutions (multilevel
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FTT).
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Tue Jun 4 21:30:24 UTC 2019 - Chris Coutinho <chrisbcoutinho@gmail.com>
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- Switch from python2 to python3 interface
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- Add memory-constraints build requirement to handle memory
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requirements
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Fri May 17 21:42:26 UTC 2019 - Chris Coutinho <chrisbcoutinho@gmail.com>
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- Update to 6.10
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* Evaluation data (variables and responses) may now be output to disk
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in HDF5 format. HDF5 support has been added to all of our downloads.
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See the Dakota HDF5 Output section of the Reference Manual for full
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details.
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* Capabilities for multilevel polynomial chaos expansion (ML PCE) and
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stochastic collocation (MC SC) have been expanded and hardened to
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improve their efficiency, completeness, and accuracy.
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Mon Mar 11 15:15:54 UTC 2019 - Chris Coutinho <c.coutinho@redstack.nl>
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- Add a dakota.pth file for python package imports
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- Remove shebang patches, just use a few oneliners in spec file
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Sat Mar 9 13:54:28 UTC 2019 - Chris Coutinho <chrisbcoutinho@gmail.com>
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- Remove all '%exclude' statements, just remove after installing
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- Move all .so and .so.* files to devel
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- clean up distribution conditionals
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Tue Mar 5 19:32:25 UTC 2019 - Chris Coutinho <c.coutinho@redstack.nl>
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- Make an optional dependency on Trilinos package in science repo
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Sun Mar 3 17:49:03 UTC 2019 - Chris Coutinho <chrisbcoutinho@gmail.com>
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- Added four patches
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1. install-destination.patch: Dakota has hard-coded its target library
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destination to 'lib', so this patch changes that to be a cache variable,
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and also changes all its subpackages to read that
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2. env-script.patch: This patch stops rpmlint from complaining about a
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dependency on 'env'
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3. shebang.patch: Adds a shebang to an executable shell script
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4. JEGA.patch: Fixes a bug known to upstream that causes a compile
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error
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Thu Feb 28 07:33:33 UTC 2019 - Chris Coutinho <chrisbcoutinho@gmail.com>
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- Move examples to example package, update doc/license install
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Wed Feb 27 00:40:11 UTC 2019 - Chris Coutinho <c.coutinho@redstack.nl>
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- Initial commit Dakota 6.9
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