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authorTomaž Vajngerl <tomaz.vajngerl@collabora.co.uk>2017-11-06 00:54:25 +0100
committerTomaž Vajngerl <quikee@gmail.com>2017-11-18 01:16:20 +0100
commit08404bbb90a8978b70698ef057a4a46ad4fceae3 (patch)
tree035b124578957f69e31966263002e1751b1d45f0 /postprocess
parentUpdate Tabbed Notebookbar remove placeholder img (diff)
downloadcore-08404bbb90a8978b70698ef057a4a46ad4fceae3.tar.gz
core-08404bbb90a8978b70698ef057a4a46ad4fceae3.zip
Swarm based (uses PSO or DE) experimental non-linear solver
This is a new, simple non-linear solver that uses a swarm (population) to do global optimization. It uses two algoritms - Particle Swarm Optimization (PSO) or Differential Evolution (DE) to find a (non-optimal) solution. It is experimental as not all functions are implemented and it needs a lot more testing so that it performs well. Change-Id: If55dad7eda17394851a9d178ad892de771eca7c9 Reviewed-on: https://gerrit.libreoffice.org/44382 Tested-by: Jenkins <ci@libreoffice.org> Reviewed-by: Tomaž Vajngerl <quikee@gmail.com>
Diffstat (limited to 'postprocess')
-rw-r--r--postprocess/Rdb_services.mk1
1 files changed, 1 insertions, 0 deletions
diff --git a/postprocess/Rdb_services.mk b/postprocess/Rdb_services.mk
index c0bd871fb1ba..d83b30819ccd 100644
--- a/postprocess/Rdb_services.mk
+++ b/postprocess/Rdb_services.mk
@@ -118,6 +118,7 @@ $(eval $(call gb_Rdb_add_components,services,\
$(if $(ENABLE_LPSOLVE), \
sccomp/source/solver/lpsolvesolver \
) \
+ sccomp/source/solver/swarmsolver \
writerfilter/util/writerfilter \
writerperfect/source/draw/wpftdraw \
writerperfect/source/impress/wpftimpress \