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
12 files changed
tree: c4549fcd750439e0256fae72489f712a7dcc0cda
  1. .github/
  2. bazel/
  3. cmake/
  4. config/
  5. data/
  6. docs/
  7. examples/
  8. include/
  9. internal/
  10. scripts/
  11. .clang-format
  12. .gitignore
  13. BUILD
  14. CITATION.cff
  15. CMakeLists.txt
  18. package.xml

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Ceres Solver

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.

  1. Non-linear Least Squares problems with bounds constraints.
  2. General unconstrained optimization problems.

Please see for more information.