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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd between version 1.10 and 1.11

version 1.10, 2014/03/31 07:23:09 version 1.11, 2015/03/21 22:49:34
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 %% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v 1.9 2014/03/31 06:20:06 takayama Exp $  %% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v 1.10 2014/03/31 07:23:09 takayama Exp $
 \name{hgm-package}  \name{hgm-package}
 \alias{hgm-package}  \alias{hgm-package}
 \alias{HGM}  \alias{HGM}
Line 10  HGM
Line 10  HGM
 \description{  \description{
 The holonomic gradient method (HGM, hgm) gives a way to evaluate normalizing  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 or difference equations.
   The holonomic gradient descent (HGD, hgd) gives a method    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.
 }  }
Line 43  Tomonari Sei, Nobuki Takayama, Akimichi Takemura,
Line 43  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}
   \item [dojo] Edited by T.Hibi,  Groebner Bases: Statistics and Software Systems, Springer, 2013,
   \url{http://dx.doi.org/10.1007/978-4-431-54574-3}
 \item  \url{http://www.openxm.org}  \item  \url{http://www.openxm.org}
 }  }
 }  }

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