| commit | b5b394c7388c80b7aebe91a255111c15b5013ce8 | [log] [tgz] |
|---|---|---|
| author | Sameer Agarwal <sameeragarwal@google.com> | Mon Jun 12 15:17:58 2017 -0700 |
| committer | Sameer Agarwal <sameeragarwal@google.com> | Wed Jun 21 23:17:54 2017 -0700 |
| tree | 2d6b22024a6b7336c531c28e0c8a8f68bb793cb7 | |
| parent | 04325145c94008014afde7fc802f85d6b4919106 [diff] |
Add InnerProductComputer 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
Ceres Solver is an open source C++ library for modeling and solving large, complicated optimization problems. It is a feature rich, mature and performant library which has been used in production at Google since 2010. Ceres Solver can solve two kinds of problems.
Please see ceres-solver.org for more information.
Ceres development happens on Gerrit, including both repository hosting and code reviews. The GitHub Repository is a continuously updated mirror which is primarily meant for issue tracking. Please see our Contributing to Ceres Guide for more details.
The upstream Gerrit repository is
https://ceres-solver.googlesource.com/ceres-solver