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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd between version 1.9 and 1.10

version 1.9, 2014/03/31 06:20:06 version 1.10, 2014/03/31 07:23:09
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 %% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v 1.8 2014/03/31 00:49:51 takayama Exp $  %% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v 1.9 2014/03/31 06:20:06 takayama Exp $
 \name{hgm-package}  \name{hgm-package}
 \alias{hgm-package}  \alias{hgm-package}
 \alias{HGM}  \alias{HGM}
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 HGM  HGM
 }  }
 \description{  \description{
 The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization  The holonomic gradient method (HGM, hgm) gives a way to evaluate normalizing
   constants of unnormalized probability distributions by utilizing holonomic    constants of unnormalized probability distributions by utilizing holonomic
   systems of differential equations.    systems of differential equations.
   The holonomic gradient descent (HGD, hgd) gives a method    The holonomic gradient descent (HGD, hgd) gives a method
Line 22  License: \tab GPL-2\cr
Line 22  License: \tab GPL-2\cr
 LazyLoad: \tab yes\cr  LazyLoad: \tab yes\cr
 }  }
 The HGM and HGD are proposed in the paper below.  The HGM and HGD are proposed in the paper below.
 This method based on the fact that a broad class of normalization constants  This method based on the fact that a broad class of normalizing constants
 of unnormalized probability distributions belongs to the class of  of unnormalized probability distributions belongs to the class of
 holonomic functions, which are solutions of holonomic systems of linear  holonomic functions, which are solutions of holonomic systems of linear
 partial differential equations.  partial differential equations.
Line 38  partial differential equations.
Line 38  partial differential equations.
 }  }
 \references{  \references{
 \itemize{  \itemize{
 \item  Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara,  \item  [N3OST2]  Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara,
 [N3OST2]  Tomonari Sei, Nobuki Takayama, Akimichi Takemura,  Tomonari Sei, Nobuki Takayama, Akimichi Takemura,
 Holonomic Gradient Descent  and its Application to Fisher-Bingham Integral,  Holonomic Gradient Descent  and its Application to Fisher-Bingham Integral,
 Advances in Applied Mathematics 47 (2011), 639--658,  Advances in Applied Mathematics 47 (2011), 639--658,
 \url{http://dx.doi.org/10.1016/j.aam.2011.03.001}  \url{http://dx.doi.org/10.1016/j.aam.2011.03.001}
Line 53  Advances in Applied Mathematics 47 (2011), 639--658, 
Line 53  Advances in Applied Mathematics 47 (2011), 639--658, 
 \keyword{ HGM }  \keyword{ HGM }
 \keyword{ HGD }  \keyword{ HGD }
 \seealso{  \seealso{
 \code{\link{hgm.mleFBByOptim}}  \code{\link{hgm.mleFBByOptim}},
 \code{\link{hgm.ncBingham}}  \code{\link{hgm.ncBingham}},
 \code{\link{hgm.ncorthant}}  \code{\link{hgm.ncorthant}},
 \code{\link{hgm.ncso3}}  \code{\link{hgm.ncso3}},
 \code{\link{hgm.pwishart}}  \code{\link{hgm.pwishart}},
 \code{\link{hgm.Rhgm}}  \code{\link{hgm.Rhgm}}
 }  }
 \examples{  \examples{
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