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  "Type": "Package",
  "Title": "Holonomic Gradient Method and Gradient Descent",
  "Version": "1.23",
  "Date": "2023-01-21",
  "Author": "Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama,\nKenta Nishiyama",
  "Maintainer": "Nobuki Takayama <takayama@math.kobe-u.ac.jp>",
  "Description": "The holonomic gradient method (HGM, hgm) gives a way to\nevaluate normalization constants of unnormalized probability\ndistributions by utilizing holonomic systems of differential or\ndifference equations. The holonomic gradient descent (HGD, hgd)\ngives a method to find maximal likelihood estimates by\nutilizing the HGM.",
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  "LazyLoad": "yes",
  "URL": "http://www.openxm.org",
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  "Packaged": {
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    "User": "root"
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  "Date/Publication": "2023-01-31 21:10:02 UTC",
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  "_topics": [
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    "extra/citation.html",
    "extra/citation.json",
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  "_releases": [
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      "date": "2015-03-27"
    },
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    },
    {
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    },
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    },
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    },
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    "hgm.ncorthant",
    "hgm.ncso3",
    "hgm.p2wishart",
    "hgm.pwishart",
    "hgm.Rhgm",
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  ],
  "_help": [
    {
      "page": "hgm-package",
      "title": "HGM",
      "topics": [
        "hgm-package",
        "HGM",
        "hgm"
      ]
    },
    {
      "page": "hgm.se.hgm.Bingham",
      "title": "The function hgm.ncBingham performs the holonomic gradient method (HGM) for Bingham distributions.",
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        "hgm.ncBingham"
      ]
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      ]
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        "hgm.p2wishart"
      ]
    },
    {
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      ]
    },
    {
      "page": "hgm.Rhgm",
      "title": "The function hgm.Rhgm performs the holonomic gradient method (HGM) for a given Pfaffian system and an initial value vector.",
      "topics": [
        "hgm.Rhgm"
      ]
    },
    {
      "page": "hgm.Rhgm.demo1",
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      ]
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