Improvements to benchmarks

1. Add CreateFakeBundleAdjustmentJacobian to create
   bundle adjustment structured jacobians.
2. sparse_linear_operator_benchmark -> spmv_benchmark
3. Refactor spmv_benchmark to use CreateFakeBundleAdjustmentJacobian.
4. Add BA and unstructured Jacobian variants of spmv benchmarks
5. Add BA and unstructured Jacobian benchmarks for the block Jacobi
6. Fix BlockSparseMatrix::ToCompressedRowSparseMatrix to add the
   row and column block structure to the output.

Change-Id: I737a3d7d82dad665b1f2e7886c2c3aedd702ffcd
7 files changed
tree: 84cfab577c7e224fd6a6f3a5bb997fd5ad7e4f11
  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

Android Linux macOS Windows

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.