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version 1.10, 2014/03/31 00:49:51 version 1.17, 2016/02/13 06:47:50
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 Package: hgm  Package: hgm
 Type: Package  Type: Package
 Depends: R (>= 2.6.0)  Depends: R (>= 2.6.0), deSolve
 Depends: deSolve  Title: Holonomic Gradient Method and Gradient Descent
 Title: Holonomic gradient method and gradient descent  Version: 1.12
 Version: 1.7  Date: 2016-02-13
 Date: 2014-03-31  Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama
 Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Kenta Nishiyama, Hiromasa Nakayama  
 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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