Branch:
user/anddt/development/glm
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
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user/aclemons/updates
user/anddt/development/acpica
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user/anddt/development/gnustep-base
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user/anddt/games/assaultcube-reloaded
user/anddt/games/doomseeker
user/anddt/games/prboom-plus
user/anddt/games/rocksndiamonds
user/anddt/games/rottexpr
user/anddt/games/srb2
user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
user/anddt/ham/hamlib
user/anddt/libraries/girara
user/anddt/libraries/goffice
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user/anddt/libraries/imlib2
user/anddt/libraries/jsoncpp
user/anddt/libraries/libnova
user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
user/anddt/libraries/wxGTK3
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user/anddt/misc/discount
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user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
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user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
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user/belka/updates
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user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
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willysr
wxWidgets-wip
GPG-KEY
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Lorenzo Trevisan
dfb1f3be71
academic/dakota: Update BUILD.
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2 vuotta sitten | |
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| .. | ||
| README | 2c3623e58a academic/dakota: Fix README. | 4 vuotta sitten |
| dakota.SlackBuild | dfb1f3be71 academic/dakota: Update BUILD. | 2 vuotta sitten |
| dakota.csh | 2b3ebf4023 academic/dakota: Added (optimization toolkit). | 7 vuotta sitten |
| dakota.info | fc0732657e academic/dakota: Added documentation. | 2 vuotta sitten |
| dakota.sh | 2b3ebf4023 academic/dakota: Added (optimization toolkit). | 7 vuotta sitten |
| doinst.sh | 2b3ebf4023 academic/dakota: Added (optimization toolkit). | 7 vuotta sitten |
| slack-desc | 2b3ebf4023 academic/dakota: Added (optimization toolkit). | 7 vuotta sitten |
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.
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.