1. Add a version history
2. Update copyright years across the code base
3. Run format_all.sh
4. Update version strings from 2.1.0 to 2.2.0 in the docs and
elsewhere.
Change-Id: I46d8d479d54bd6002d532785e67342106e73c9ac
Use same instance of a PRNG throughout by passing it to methods and
functions as an argument to generate random numbers without breaking the
sequence.
Change-Id: Ib024bbc1ea2d14e4b9afb71857856a5fb77b1667
1. Remove an unused variable from block_sparse_matrix.cc
2. Add explicit types to the distributions to get around
-Wctad-maybe-unsupported
Change-Id: Ib7d606fbfe2b93ba4fce408f38ee4f7626b74ff0
InnerProductComputer was assuming that the input matrix had
at least one structurally non-zero block. As a result sometimes
when InnerProductComputer.SubMatrix test generated matrices
where the submatrix was structurally zero it would cause
a segmentation fault.
This changes fixes this issue and reduces the threshold for the
minimum block density so that there is a much higher chance of
such matrices occuring as part of testing.
Fixes https://github.com/ceres-solver/ceres-solver/issues/820
Change-Id: Iec3a2431e646f0c2aac9e0b994531fa72323f329
Eigen::MappedSparseMatrix has been deprecated and removed from
Eigen at HEAD.
Thanks to rmlarsen@ for fixing this.
Change-Id: I34f3b0dda2bb91ee8cc65a20e53a3d7de6929221
- Change formatting standard to Cpp11. Main difference is not having
the space between two closing >> for nested templates. We don't
choose c++14, because older versions of clang-format (version 9
and earlier) don't know this value yet, and it doesn't make a
difference in the formatting.
- Apply clang-format to all (non generated) internal source files.
- Manually fix some code sections (clang-format on/off) and c-strings
- Exclude some embedded external files with very different formatting
(gtest/gmock)
- Add script to format all source files
Change-Id: Ic6cea41575ad6e37c9e136dbce176b0d505dc44d
Prior to this Cheng Wang had to work the MatrixTransposeMatrixMultiply
function in inner_product_computer because of its lagging performance.
Now that the implementation of MatrixTransposeMatrixMultiply
has been updated to match the implementation in inner_product_computer
this CL removes the redundancy.
This CL also includes a fix to MatrixTransposeMatrixMultiply
which was missed in the earlier refactoring, because the test
coverage for small_blas is broken. The tests for InnerProductComputer
caught the problem.
Change-Id: Ia8890010da058c2d9fe738dc77f0be34af5618ab
1. Remove unused variable.
2. Make inner_product_computer compatible with older versions of Eigen,
which don't have a named enum for Eigen::Upper/Lower.
Change-Id: I927af297f93fc74f7f4b29b39e400ef2d75edbd4
Add a class that given a block sparse matrix m will compute
the product m'*m efficiently.
This code is refactoring and cleanup of the code in
CompressedRowSparseMatrix devoted to computing the inner product.
In that class, the code is mistakenly said to be computing
the outer product. It is also devoted to computing the inner
product of a CompressedRowSparseMatrix with itself.
This code works with BlockSparseMatrix objects instead, which
are simpler to deal with as they are better structured to handle
block sparse matrices.
Change-Id: I920fee1a396bb0fcae9e6f7e46a308c7391d21aa
Sameer Agarwal