跳到主要导航 跳到搜索 跳到主要内容

Exploiting Variable Sparsity in Computing Equilibria of Biological Dynamical Systems by Triangular Decomposition

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Biological systems modeled as dynamical systems can be large in the number of variables and sparse in the interrelationship between the variables. In this paper we exploit the variable sparsity of biological dynamical systems in computing their equilibria by using sparse triangular decomposition. The variable sparsity of a biological dynamical system is characterized via the associated graph constructed from the polynomial set in the system. To make use of sparse triangular decomposition which has been proven to maintain the variable sparsity when a perfect elimination ordering of a chordal associated graph is used, we first study the influence of chordal completion on the variable sparsity for a large number of biological dynamical systems. Then for those systems which are both large and sparse, we compare the computational performances of sparse triangular decomposition versus ordinary one with experiments. The experimental results verify the efficiency gains in sparse triangular decomposition exploiting the variable sparsity.

源语言英语
主期刊名Algorithms for Computational Biology - 8th International Conference, AlCoB 2021, Proceedings
编辑Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis Wheeler
出版商Springer Science and Business Media Deutschland GmbH
29-41
页数13
ISBN(印刷版)9783030744311
DOI
出版状态已出版 - 2021
活动8th International Conference on Algorithms for Computational Biology, AlCoB 2021 - Missoula, 美国
期限: 7 6月 202111 6月 2021

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12715 LNBI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议8th International Conference on Algorithms for Computational Biology, AlCoB 2021
国家/地区美国
Missoula
时期7/06/2111/06/21

指纹

探究 'Exploiting Variable Sparsity in Computing Equilibria of Biological Dynamical Systems by Triangular Decomposition' 的科研主题。它们共同构成独一无二的指纹。

引用此