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{
  "commit": "092b94970a073f8b47179d96160226fc19095898",
  "tree": "00551b74ed96c6700f40862bbced5208bdcec140",
  "parents": [
    "6c45d6b891aac01489b478a021f99081c61792cb"
  ],
  "author": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Fri Sep 05 11:56:29 2014 -0700"
  },
  "committer": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Mon Sep 15 10:21:09 2014 -0700"
  },
  "message": "Add GradientProblem and GradientProblemSolver.\n\nThe line search minimizer in Ceres does not require that the\nproblems that is solving is a sum of squares. Over the past\nyear there have been multiple requests to expose this algorithm\non its own so that it can be used to solve unconstrained\nnon-linear minimization problems on its own.\n\nWith this change, a new optimization problem called\nGradientProblem is introduced which is basically a thin\nwrapper around a user defined functor that evaluates cost\nand gradients (FirstOrderFunction) and an optional LocalParameterization.\n\nCorresponding to it, a GradientProblemSolver and its associated\noptions and summary structs are introduced too.\n\nAn example that uses the new API to find the minimum of Rosenbrock\u0027s\nfunction is also added.\n\nChange-Id: I42bf687540da25de991e9bdb00e321239244e8b4\n",
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