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version 1.7, 2014/03/16 03:11:07 version 1.13, 2015/03/21 22:49:34
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 Package: hgm  Package: hgm
 Type: Package  Type: Package
 Depends: R (>= 2.6.0)  Depends: R (>= 2.6.0)
 Title: Holonomic gradient method and gradient  Depends: deSolve
 Version: 1.4  Title: Holonomic gradient method and gradient descent
 Date: 2014-03-16  Version: 1.9
 Author: Nobuki Takayama,  Date: 2015-03-22
   Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama
 Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp>  Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp>
 Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization  Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization
   constants of unnormalized probability distributions by utilizing holonomic    constants of unnormalized probability distributions by utilizing holonomic
   systems of differential equations. The holonomic gradient descent (HGD, hgd) gives a method    systems of differential or difference equations. The holonomic gradient descent (HGD, hgd) gives a method
   to find maximal likelihood estimates by utilizing the HGM.    to find maximal likelihood estimates by utilizing the HGM.
 License: GPL-2  License: GPL-2
 LazyLoad: yes  LazyLoad: yes
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