)]}'
{
  "commit": "27bb997144d00dd4494d440627f1e782bf4adf43",
  "tree": "1b899f65c390a581299562bbc857cb9ca0950ccd",
  "parents": [
    "84fdac38e033c8f9a63c6e6fca7b44219110f7df"
  ],
  "author": {
    "name": "Johannes Beck",
    "email": "Jodebo_Beck@gmx.de",
    "time": "Tue Mar 24 08:05:43 2020 +0100"
  },
  "committer": {
    "name": "Sameer Agarwal",
    "email": "sameeragarwal@google.com",
    "time": "Tue Mar 24 18:43:32 2020 +0000"
  },
  "message": "Change SVD algorithm in covariance computation.\n\nSwitch from JacobiSVD to BDCSVD in\nComputeCovarianceValuesUsingDenseSVD. This should increase\nthe performance for larger covariance matrices. See\nhttps://eigen.tuxfamily.org/dox/classEigen_1_1BDCSVD.html\n\nChange-Id: Icde4dec89f506b638b0f9f1aee3b7cfc9e4d72fc\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "299dda8fbd59750e04f4455c99cd9f808f7f5206",
      "old_mode": 33188,
      "old_path": "internal/ceres/covariance_impl.cc",
      "new_id": "6c26412d854fc332ac24c865b0fa25997eb0121d",
      "new_mode": 33188,
      "new_path": "internal/ceres/covariance_impl.cc"
    }
  ]
}