+ Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems.
+builddeps :
+ - pkgconfig(eigen3)
+ - pkgconfig(gflags)
+ - pkgconfig(libglog)
+ - pkgconfig(openblas)
+ - suitesparse-devel
+rundeps :
+ - devel :
+ - eigen3
+ - gflags-devel
+ - glog-devel
+ - openblas-devel
+ - suitesparse-devel
+setup : |
+ %cmake_ninja \
+ -DEIGENSPARSE=ON \
+ -DBUILD_SHARED_LIBS=ON \
+ -DBUILD_TESTING=OFF \
+ -DBUILD_EXAMPLES=OFF \
+ -DBUILD_BENCHMARKS=OFF
+build : |
+ %ninja_build
+install : |
+ %ninja_install
diff --git a/pspec_x86_64.xml b/pspec_x86_64.xml
new file mode 100644
--- /dev/null
+++ b/pspec_x86_64.xml
@@ -0,0 +1,107 @@
+<PISI>
+ <Source>
+ <Name>ceres-solver</Name>
+ <Packager>
+ <Name>Martin Reboredo</Name>
+ <Email>yakoyoku@gmail.com</Email>
+ </Packager>
+ <License>Apache-2.0</License>
+ <License>BSD-3-Clause</License>
+ <PartOf>programming.library</PartOf>
+ <Summary xml:lang="en">A nonlinear least squares minimizer</Summary>
+ <Description xml:lang="en">Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems.
+ <Summary xml:lang="en">A nonlinear least squares minimizer</Summary>
+ <Description xml:lang="en">Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems.
+ <Summary xml:lang="en">Development files for ceres-solver</Summary>
+ <Description xml:lang="en">Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems.