Abstract Multicanonical MCMC (Multicanonical Markov Chain Monte Carlo; Multicanonical
Monte Carlo) is discussed as a method of rare event sampling. Starting from a review of the …

Gene regulatory networks (GRNs) are complex systems in which many genes regulate
mutually to adapt the cell state to environmental conditions. In addition to function, the GRNs …

In a modern battery pack, the charge in the individual cells can diverge in time, leading to
decreased capacity and reduced operating life of the pack. Charge balancing systems can …

This paper considers the problem of network structure manipulation in the absence of
information on the global network topology. In particular, the problem of removing some of …

The aim of this paper is two-fold. First, we propose a new computational method to
investigate the particularities of evolution. Second, we apply this method to a model of gene …

The statistical significance of network properties is conditioned on null models which satisfy
specified properties but that are otherwise random. Exponential random graph models are a …

Dynamics in biological networks are, in general, robust against several perturbations. We
investigate a coupled map network as a model motivated by gene regulatory networks and …

Many systems, including space satellites, cannot be upgraded or repaired easily during their
missions. Simulation-based design techniques are often used to check conditions that can …

Despite its ubiquity among organisms, genetic redundancy is presumed to reduce total
population fitness and is therefore unlikely to evolve. This study evaluates an evolutionary …

By constructing a multicanonical Monte Carlo simulation, we obtain the full probability
distribution ρ N (r) of the degree assortativity coefficient r on configuration networks of size N …