===================================================================
RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v
retrieving revision 1.5
retrieving revision 1.8
diff -u -p -r1.5 -r1.8
--- OpenXM/src/hgm/doc/ref-hgm.html 2014/03/26 05:02:18 1.5
+++ OpenXM/src/hgm/doc/ref-hgm.html 2014/04/03 07:34:31 1.8
@@ -12,6 +12,14 @@ the Holonomic Gradient Descent Method (HGD)
Papers and Tutorials
+- J.Hayakawa, A.Takemura,
+Estimation of exponential-polynomial distribution by holonomic gradient descent
+ arxiv:1403.7852
+
+
- C.Siriteanu, A.Takemura, S.Kuriki,
+MIMO Zero-Forcing Detection Performance Evaluation by Holonomic Gradient Method
+ arxiv:1403.3788
+
- T.Koyama,
Holonomic Modules Associated with Multivariate Normal Probabilities of Polyhedra,
arxiv:1311.6905
@@ -94,16 +102,26 @@ equations.
Software Packages for HGM
+Most software packages are experimental and temporary documents are found in
+"asir-contrib manual" (auto-autogenerated part), or
+"Experimental Functions in Asir", or "miscellaneous and other documents"
+of the
+
+OpenXM documents
+or in this folder.
+The nightly snapshot of the asir-contrib can be found in the Asir-Contrib page below,
+or look up our
+cvsweb page.
- hgm package for R for the step 3.
- yang (for Pfaffian systems) , nk_restriction (for D-module integrations),
tk_jack (for Jack polynomials), ko_fb_pfaffian (Pfaffian system for the Fisher-Bingham system)
are for the steps 1 or 2 and in the
- asir-contrib
+ asir-contrib.
- nk_fb_gen_c is a package to generate a C program to perform
-maximal Likehood estimates for the Fisher-Bingham distribution by HGD (holonomic gradient descent)
+maximal Likehood estimates for the Fisher-Bingham distribution by HGD (holonomic gradient descent).
It is in the
- asir-contrib
+ asir-contrib.
Programs to try examples of our papers
@@ -111,6 +129,6 @@ It is in the
d-dimensional Fisher-Bingham System
- $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.4 2014/03/24 21:03:55 takayama Exp $
+ $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.7 2014/03/31 07:23:09 takayama Exp $