)]}'
{
  "commit": "f44907f702d1d53724064f72d18e177a4f2fbfeb",
  "tree": "0d76efae8610343c8259a44b33004a0b1abd8015",
  "parents": [
    "9d5fea19f130750a93eb14dbda9992ea7db59311"
  ],
  "author": {
    "name": "Keir Mierle",
    "email": "mierle@gmail.com",
    "time": "Fri Jul 06 13:52:32 2012 -0700"
  },
  "committer": {
    "name": "Keir Mierle",
    "email": "mierle@gmail.com",
    "time": "Wed Jul 11 09:44:45 2012 -0700"
  },
  "message": "Compute the gradient if requested in the evaluator\n\nThis extends the Evaluator interface to support evaluating the\ngradient in addition to the residuals and jacobian, if requested.\n\n   bool Evaluate(const double* state,\n                 double* cost,\n                 double* residuals,\n                 double* gradient,  \u003c----------- NEW\n                 SparseMatrix* jacobian) \u003d 0;\n\nThe ProgramEvaluator is extended to support the new gradient\nevaluation. This required some gymnastics around the block\nevaluate preparer, which now contains a scratch evaluate preparer\nfor the case that no jacobian is requested but the gradient is.\n\nGradient evaluation is a prerequisite for the planned suite of\nfirst order methods, including nonlinear conjugate gradient,\nCG_DESCENT, L-BFGS, trust region with line search, and more.\n\nThis also considerably refactors the evaluator_test to make it\nshorter and check the results for all combinations of the optional\nparameters [residuals, gradient, jacobian].\n\nChange-Id: Ic7d0fec028dc5ffebc08ee079ad04eeaf6e02582\n",
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