論文

査読有り
2014年

Software packages for holonomic gradient method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Tamio Koyama
  • ,
  • Hiromasa Nakayama
  • ,
  • Katsuyoshi Ohara
  • ,
  • Tomonari Sei
  • ,
  • Nobuki Takayama

8592
開始ページ
706
終了ページ
712
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-662-44199-2_105
出版者・発行元
Springer Verlag

We present software packages for the holonomic gradient method (HGM). These packages compute normalizing constants and the probabilities of some regions. While many algorithms which compute integrals over high-dimensional regions utilize the Monte-Carlo method, our HGM utilizes algorithms for solving ordinary differential equations such as the Runge-Kutta-Fehlberg method. As a result, our HGM can evaluate many integrals with a high degree of accuracy and moderate computational time. The source code of our packages is distributed on our web page [12]. © 2014 Springer-Verlag.

リンク情報
DOI
https://doi.org/10.1007/978-3-662-44199-2_105
ID情報
  • DOI : 10.1007/978-3-662-44199-2_105
  • ISSN : 1611-3349
  • ISSN : 0302-9743
  • SCOPUS ID : 84905855934

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