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Line 12  the Holonomic Gradient Descent Method  (HGD) </h1>
Line 14  the Holonomic Gradient Descent Method  (HGD) </h1>
   
 <h2> Papers  and Tutorials</h2>  <h2> Papers  and Tutorials</h2>
 <ol>  <ol>
   <li>
   N.Takayama, L.Jiu, S.Kuriki, Y.Zhang,
   Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix,
   <a href="https://arxiv.org/abs/1903.10099"> arxiv:1903.10099 </a>
 <li> M.Harkonen, T.Sei, Y.Hirose,  <li> M.Harkonen, T.Sei, Y.Hirose,
 Holonomic extended least angle regression,  Holonomic extended least angle regression,
 <a href="https://arxiv.org/abs/1809.08190"> arxiv:1809.08190 </a>  <a href="https://arxiv.org/abs/1809.08190"> arxiv:1809.08190 </a>
Line 261  maximal Likehood estimates for the Fisher-Bingham dist
Line 267  maximal Likehood estimates for the Fisher-Bingham dist
 <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a>  <li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/Fisher-Bingham-2"> d-dimensional Fisher-Bingham System </a>
 </ol>  </ol>
   
 <pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.26 2018/07/06 06:01:51 takayama Exp $ </pre>  <pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.27 2018/11/13 01:14:49 takayama Exp $ </pre>
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