López-Ruiz Ricardo
Department of Computer Sciences, Facultad de Ciencias-Edificio B, Universidad de Zaragoza, 50009-Zaragoza, Spain.
Biophys Chem. 2005 Apr 1;115(2-3):215-8. doi: 10.1016/j.bpc.2004.12.035. Epub 2005 Jan 1.
The LMC complexity, an indicator of complexity based on a probabilistic description, is revisited. A straightforward approach allows us to establish the time evolution of this indicator in a near-equilibrium situation and gives us a new insight for interpreting the LMC complexity for a general non equilibrium system. Its relationship with the Rényi entropies is also explained. One of the advantages of this indicator is that its calculation does not require a considerable computational effort in many cases of physical and biological interest.
基于概率描述的复杂度指标——局部平均复杂度(LMC)被重新审视。一种直接的方法使我们能够确定该指标在近平衡情况下的时间演化,并为解释一般非平衡系统的LMC复杂度提供了新的见解。还解释了它与雷尼熵的关系。该指标的优点之一是,在许多物理和生物学感兴趣的情况下,其计算不需要大量的计算工作。