=================================================================== RCS file: /home/cvs/OpenXM/src/hgm/doc/ref-hgm.html,v retrieving revision 1.7 retrieving revision 1.10 diff -u -p -r1.7 -r1.10 --- OpenXM/src/hgm/doc/ref-hgm.html 2014/03/31 07:23:09 1.7 +++ OpenXM/src/hgm/doc/ref-hgm.html 2014/05/16 11:30:31 1.10 @@ -12,6 +12,14 @@ the Holonomic Gradient Descent Method (HGD)

Papers and Tutorials

    +
  1. J.Hayakawa, A.Takemura, +Estimation of exponential-polynomial distribution by holonomic gradient descent + arxiv:1403.7852 + +
  2. C.Siriteanu, A.Takemura, S.Kuriki, +MIMO Zero-Forcing Detection Performance Evaluation by Holonomic Gradient Method + arxiv:1403.3788 +
  3. T.Koyama, Holonomic Modules Associated with Multivariate Normal Probabilities of Polyhedra, arxiv:1311.6905 @@ -80,14 +88,14 @@ Advances in Applied Mathematics 47 (2011), 639--658,

    Three Steps of HGM

      -
    1. Find a holonomic system satisfied by the normalizing constant. +
    2. Finding a holonomic system satisfied by the normalizing constant. We may use computational or theoretical methods to find it. Groebner basis and related methods are used. -
    3. Find an initial value vector for the holonomic system. +
    4. Finding an initial value vector for the holonomic system. This is equivalent to evaluating the normalizing constant and its derivatives at a point. This step is usually performed by a series expansion. -
    5. Solve the holonomic system numerically. We use several methods +
    6. Solving the holonomic system numerically. We use several methods in numerical analysis such as the Runge-Kutta method of solving ordinary differential equations and efficient solvers of systems of linear equations. @@ -100,20 +108,29 @@ Most software packages are experimental and temporary 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 in this folder. +The nightly snapshot of the asir-contrib can be found in the asir page below, or look up our -cvsweb page +cvsweb page.
        -
      1. hgm package for R for the step 3. -
      2. 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 -
      3. nk_fb_gen_c is a package to generate a C program to perform +
      4. Command line interfaces are in the folder OpenXM/src/hgm +in the OpenXM source tree. See +OpenXM distribution page . +
      5. hgm package for R (hgm_*tar.gz, hgm-manual.pdf) for the step 3. +
      6. The following packages are +for the computer algebra system + Risa/Asir. +They are in the asir-contrib collection. +
          +
        • yang.rr (for Pfaffian systems) , +nk_restriction.rr (for D-module integrations), +tk_jack.rr (for Jack polynomials), +ko_fb_pfaffian.rr (Pfaffian system for the Fisher-Bingham system), +are for the steps 1 or 2. +
        • nk_fb_gen_c.rr is a package to generate a C program to perform maximal Likehood estimates for the Fisher-Bingham distribution by HGD (holonomic gradient descent). -It is in the - asir-contrib +
        • ot_hgm_ahg.rr (HGM for A-distributions, very experimental). +

      Programs to try examples of our papers

      @@ -121,6 +138,6 @@ It is in the
    7. d-dimensional Fisher-Bingham System
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