)]}'
{
  "commit": "eeedd3a59281eb27025d7f9aa944d9aff0666590",
  "tree": "27e19e8e0f8a3c612b61220f4014d16e9bf368ae",
  "parents": [
    "d8d541674da5f3ba7a15c4003fa18577479f8f8c"
  ],
  "author": {
    "name": "Sergey Sharybin",
    "email": "sergey.vfx@gmail.com",
    "time": "Wed Apr 10 23:58:32 2013 +0600"
  },
  "committer": {
    "name": "Sergey Sharybin",
    "email": "sergey.vfx@gmail.com",
    "time": "Thu Apr 11 03:07:09 2013 +0600"
  },
  "message": "Autodiff local parameterization class\n\nThis class is used to create local parameterization\nwith Jacobians computed via automatic differentiation.\n\nTo get an auto differentiated local parameterization,\nclass with a templated operator() (a functor) that\ncomputes\n\n plus_delta \u003d Plus(x, delta);\n\nshall be defined.\n\nThen given such functor, the auto differentiated local\nparameterization can be constructed as\n\n LocalParameterization* local_parameterization \u003d\n   new AutoDiffLocalParameterization\u003cPlusFunctor, 4, 3\u003e;\n                                                  |  |\n                       Global Size ---------------+  |\n                       Local Size -------------------+\n\nSee autodiff_local_parameterization.h for more information\nand usage example.\n\nInitial implementation by Keir Mierle, finished by self\nand integrated into Ceres and covered with unit tests\nby Sameer Agarwal.\n\nChange-Id: I1b3e48ae89f81e0cf1f51416c5696e18223f4b21\n",
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