)]}'
{
  "commit": "17dccef91b026e30e5eb62a35d03a419be500e25",
  "tree": "f3bb526c67edb5348e2ea40584e2bb76d3cbb22d",
  "parents": [
    "03d64141ae437f7b686ca3501b744cdc4d403858"
  ],
  "author": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Tue Sep 14 08:17:21 2021 -0700"
  },
  "committer": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Wed Sep 15 06:21:02 2021 -0700"
  },
  "message": "Add NumericDiffFirstOrderFunction\n\nThis has been a long requested feature so that users can minimize\nfunctions using numeric differentiation.\n\nAs part of this, I have also redone rosenbrock.cc, which now has three\nvariants.\n\nrosenbrock.cc now uses automatic differentiation.\nrosenbrock_numeric_diff.cc uses numeric differentiation.\nrosenbrock_analytic_diff.cc uses analytic derivatives.\n\nThis is analogus to how the helloworld example code is structured.\n\nThe tutorial for GradientProblemSolver has also been updated to reflect\nthis.\n\nhttps://github.com/ceres-solver/ceres-solver/issues/691\n\nChange-Id: Ib0fb9e35127fe4c8299d4793bea3558722c70dd7\n",
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