version 1.1, 2014/03/24 06:43:55 |
version 1.11, 2014/05/20 02:12:18 |
Line 12 the Holonomic Gradient Descent Method (HGD) </h1> |
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Line 12 the Holonomic Gradient Descent Method (HGD) </h1> |
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<h2> Papers and Tutorials</h2> |
<h2> Papers and Tutorials</h2> |
<ol> |
<ol> |
<li> T.Koyama, |
<li>N.Marumo, T.Oaku, A.Takemura, |
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Properties of powers of functions satisfying second-order linear differential equations with applications to statistics, |
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<a href="http://arxiv.org/abs/1405.4451"> arxiv:1405.4451</a> |
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<li> J.Hayakawa, A.Takemura, |
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Estimation of exponential-polynomial distribution by holonomic gradient descent |
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<a href="http://arxiv.org/abs/1403.7852"> arxiv:1403.7852</a> |
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<li> C.Siriteanu, A.Takemura, S.Kuriki, |
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MIMO Zero-Forcing Detection Performance Evaluation by Holonomic Gradient Method |
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<a href="http://arxiv.org/abs/1403.3788"> arxiv:1403.3788</a> |
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<li> T.Koyama, |
Holonomic Modules Associated with Multivariate Normal Probabilities of Polyhedra, |
Holonomic Modules Associated with Multivariate Normal Probabilities of Polyhedra, |
<a href="http://arxiv.org/abs/1311.6905"> arxiv:1311.6905 </a> |
<a href="http://arxiv.org/abs/1311.6905"> arxiv:1311.6905 </a> |
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Line 30 T.Hibi et al, Groebner Bases : Statistics and Software |
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Line 42 T.Hibi et al, Groebner Bases : Statistics and Software |
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Introduction to the Holonomic Gradient Method (movie), 2013. |
Introduction to the Holonomic Gradient Method (movie), 2013. |
<a href="http://www.youtube.com/watch?v=SgyDDLzWTyI"> movie at youtube </a> |
<a href="http://www.youtube.com/watch?v=SgyDDLzWTyI"> movie at youtube </a> |
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<li> T.Sei, A.Kume, |
<li> T.Sei, A.Kume, |
Calculating the normalising constant of the Bingham distribution on the sphere using the holonomic gradient method, |
Calculating the Normalising Constant of the Bingham Distribution on the Sphere using the Holonomic Gradient Method, |
Statistics and Computing, 2013, |
Statistics and Computing, 2013, |
<a href="http://dx.doi.org/10.1007/s11222-013-9434-0">DOI</a> |
<a href="http://dx.doi.org/10.1007/s11222-013-9434-0">DOI</a> |
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<li> T.Koyama, A.Takemura, |
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Calculation of Orthant Probabilities by the Holonomic Gradient Method, |
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<a href="http://arxiv.org/abs/1211.6822"> arxiv:1211.6822</a> |
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<li>T. Koyama, H. Nakayama, K. Nishiyama, N. Takayama, |
<li>T. Koyama, H. Nakayama, K. Nishiyama, N. Takayama, |
Holonomic Rank of the Fisher-Bingham System of Differential Equations, |
Holonomic Rank of the Fisher-Bingham System of Differential Equations, |
<!-- <a href="http://arxiv.org/abs/1205.6144"> arxiv:1205.6144 </a>--> |
<!-- <a href="http://arxiv.org/abs/1205.6144"> arxiv:1205.6144 </a>--> |
to appear in Journal of Pure and Applied Algebra |
Journal of Pure and Applied Algebra (online), |
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<a href="http://dx.doi.org/10.1016/j.jpaa.2014.03.004"> DOI </a> |
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<li> |
<li> |
T. Koyama, H. Nakayama, K. Nishiyama, N. Takayama, |
T. Koyama, H. Nakayama, K. Nishiyama, N. Takayama, |
Line 61 Journal of Multivariate Analysis, 116 (2013), 440--455 |
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Line 79 Journal of Multivariate Analysis, 116 (2013), 440--455 |
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<li>T.Koyama, A Holonomic Ideal which Annihilates the Fisher-Bingham Integral, |
<li>T.Koyama, A Holonomic Ideal which Annihilates the Fisher-Bingham Integral, |
Funkcialaj Ekvacioj 56 (2013), 51--61. |
Funkcialaj Ekvacioj 56 (2013), 51--61. |
<!-- <a href="http://dx.doi.org/10.1619/fesi.56.51">DOI</a> --> |
<a href="http://dx.doi.org/10.1619/fesi.56.51">DOI</a> |
<a href="https://www.jstage.jst.go.jp/article/fesi/56/1/56_51/_article">jstage</a> |
<!-- <a href="https://www.jstage.jst.go.jp/article/fesi/56/1/56_51/_article">jstage</a> --> |
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<li> |
<li> |
Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara, |
Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara, |
Line 73 Advances in Applied Mathematics 47 (2011), 639--658, |
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Line 91 Advances in Applied Mathematics 47 (2011), 639--658, |
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<a href="http://dx.doi.org/10.1016/j.aam.2011.03.001"> DOI </a> |
<a href="http://dx.doi.org/10.1016/j.aam.2011.03.001"> DOI </a> |
</ol> |
</ol> |
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<h2> Three Steps of HGM </h2> |
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<ol> |
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<li> Finding a holonomic system satisfied by the normalizing constant. |
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We may use computational or theoretical methods to find it. |
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Groebner basis and related methods are used. |
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<li> Finding an initial value vector for the holonomic system. |
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This is equivalent to evaluating the normalizing constant and its derivatives |
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at a point. |
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This step is usually performed by a series expansion. |
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<li> Solving the holonomic system numerically. We use several methods |
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in numerical analysis such as the Runge-Kutta method of solving |
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ordinary differential equations and efficient solvers of systems of linear |
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equations. |
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</ol> |
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<h2> Software Packages for HGM</h2> |
<h2> Software Packages for HGM</h2> |
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Most software packages are experimental and temporary documents are found in |
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"asir-contrib manual" (auto-autogenerated part), or |
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"Experimental Functions in Asir", or "miscellaneous and other documents" |
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of the |
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<a href="http://www.math.kobe-u.ac.jp/OpenXM/Current/doc/index-doc.html"> |
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OpenXM documents</a> |
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or in <a href="./"> this folder</a>. |
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The nightly snapshot of the asir-contrib can be found in the asir page below, |
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or look up our <a href="http://www.math.sci.kobe-u.ac.jp/cgi/cvsweb.cgi/"> |
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cvsweb page</a>. |
<ol> |
<ol> |
<li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/hgm/"> hgm package for R </a> |
<li> Command line interfaces are in the folder OpenXM/src/hgm |
<li> yang (for Pfaffian systems) , nk_restriction (for D-module integrations), |
in the OpenXM source tree. See <a href="http://www.math.kobe-u.ac.jp/OpenXM"> |
tk_jack (for Jack polynomials) are in the |
OpenXM distribution page </a>. |
<a href="http://www.math.kobe-u.ac.jp/Asir"> asir-contrib </a> |
<li> <a href="http://www.math.kobe-u.ac.jp/OpenXM/Math/hgm/"> hgm package for R </a> (hgm_*tar.gz, hgm-manual.pdf) for the step 3. |
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To install this package in R, type in |
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<pre> |
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R CMD install hgm_*.tar.gz |
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</pre> |
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<li> The following packages are |
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for the computer algebra system |
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<a href="http://www.math.kobe-u.ac.jp/Asir"> Risa/Asir</a>. |
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They are in the asir-contrib collection. |
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<ul> |
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<li> yang.rr (for Pfaffian systems) , |
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nk_restriction.rr (for D-module integrations), |
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tk_jack.rr (for Jack polynomials), |
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ko_fb_pfaffian.rr (Pfaffian system for the Fisher-Bingham system), |
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are for the steps 1 or 2. |
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<li> nk_fb_gen_c.rr is a package to generate a C program to perform |
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maximal Likehood estimates for the Fisher-Bingham distribution by HGD (holonomic gradient descent). |
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<li> ot_hgm_ahg.rr (HGM for A-distributions, very experimental). |
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</ul> |
</ol> |
</ol> |
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<h2> Programs to try examples of our papers </h2> |
<h2> Programs to try examples of our papers </h2> |
Line 86 tk_jack (for Jack polynomials) are in the |
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Line 147 tk_jack (for Jack polynomials) are in the |
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<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> |
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<pre> $OpenXM$ </pre> |
<pre> $OpenXM: OpenXM/src/hgm/doc/ref-hgm.html,v 1.10 2014/05/16 11:30:31 takayama Exp $ </pre> |
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