Fix fmin/fmax() to use Jet averaging on equality

- Prior to 48cb54d1, Ceres' fmin/fmax() for Jets followed the convention
  of std::min/max(), and always returned the first argument on equality,
  irrespective of whether this argument was natively a scalar or a Jet.
- After 48cb54d1, Ceres' fmin/fmax() instead returned the second
  argument on equality, again irrespective of whether this argument was
  natively a scalar or a Jet.
- Now on equality we average the arguments as Jets, which ensures that
  a consistent answer is produced irrespective of the ordering or type
  (Jet or scalar) of the input arguments. This also ensures that we
  preserve a non-zero derivative where it exists, excluding the edge
  case of two Jet inputs with equal but oppositely signed infinitesimal
  components.
- We retain the behaviour introduced in 48cb54d1 whereby NaNs are
  treated as missing values, following the convention of
  std::fmin/fmax().
- Raised as issue #816.

Change-Id: I01217c0e32c1be83be440e4515b57c79dd290923
2 files changed
tree: b7804b2b4631a80f4e8a221131a99381d7c2cf8a
  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
  16. CONTRIBUTING.md
  17. LICENSE
  18. package.xml
  19. README.md
  20. WORKSPACE
README.md

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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 ceres-solver.org for more information.