commit | 75bacedf7dbe568671acedd1518d2eeb48300f23 | [log] [tgz] |
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author | Dmitriy Korchemkin <dmitriy.korchemkin@gmail.com> | Mon Jun 19 18:00:28 2023 +0000 |
committer | Dmitriy Korchemkin <dmitriy.korchemkin@gmail.com> | Fri Jul 14 18:12:20 2023 +0000 |
tree | c4549fcd750439e0256fae72489f712a7dcc0cda | |
parent | fd6197ce0ef5794bba455fe6f907dcdabcf624eb [diff] |
CUDA partitioned matrix view Converts BlockSparseMatrix into two instances of CudaSparseMatrix, corresponding to left and right sub-matrix. Values of submatrix E are always just copied as-is, and values of submatrix F are copied if each row-block of F submatrix satisfies at least one of the following conditions: - There is atmost one cell in row-block - Row block has height of 1 row Otherwise, indices of values in CRS order corresponding to value indices in block-sparse order are computed on-the-fly. Change-Id: I14eee00c36ee74b6b83fc85927907641383abfc7
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.