cuDSS could be used as an alternative for SuiteSparse and EigenSparse
in case if CUDA capable GPU is available.
Change-Id: I7a567093ce91363478118153e181134ed5804573
32-bit MinGW is being phased out:
https://www.msys2.org/news/#2023-12-13-starting-to-drop-some-32-bit-packages
With eigen3 and glog packages now removed, Ceres Solver no longer can be
built using stock MinGW. Therefore, we remove the support altogether.
Change-Id: I42d4ca3d15e7f3a5ddfa2eae409db7d87aed99ea
The new SuiteSparse deployment bundles METIS 5.1.0 instead of 5.1.1 to
avoid heap corruption.
Fixes#918
Change-Id: Ie779dc2015c60e928c237529675e21d4635716a2
* Split `CERES_NO_METIS` into two defines: `CERES_NO_PARTITION` and
`CERES_NO_METIS`. The former refers to METIS support in SuiteSparse,
the latter to the Eigen's MetisSupport module. This enables the use of
sparse matrix reordering independent from SuiteSparse.
* Run Linux, macOS, and macOS Github workflows with METIS enabled
SuiteSparse.
Fixes#808
Change-Id: I5076b7e1268d32cc3e7e56650edcbaf7fb3b59ce
* Ubuntu 18.04 GCC does not fully support C++17, hence remove the
runner.
* Using CMake SuiteSparse in a C++17 project requires a workaround
implemented in a recent release.
Change-Id: I9985fe12d582dfc9b74e97d670828334e507e9f5
Sameer Agarwal