Sadeghimanesh AmirHosein, England Matthew
Research Centre for Computational Sciences and Mathematical Modelling, Coventry University, Coventry, UK.
BMC Bioinformatics. 2022 Sep 27;23(1):391. doi: 10.1186/s12859-022-04921-6.
In this paper we introduce a new representation for the multistationarity region of a reaction network, using polynomial superlevel sets. The advantages of using this polynomial superlevel set representation over the already existing representations (cylindrical algebraic decompositions, numeric sampling, rectangular divisions) is discussed, and algorithms to compute this new representation are provided. The results are given for the general mathematical formalism of a parametric system of equations and so may be applied to other application domains.
在本文中,我们引入了一种使用多项式超水平集来表示反应网络多稳态区域的新方法。我们讨论了相较于现有表示方法(圆柱代数分解、数值采样、矩形划分)使用这种多项式超水平集表示的优势,并提供了计算这种新表示的算法。结果是针对参数方程组的一般数学形式给出的,因此可应用于其他应用领域。