We introduce two new measures of network robustness and apply them to four different strategies. The measures are independent from the number of nodes in the network and have the strong potential to cover a large portfolio of applications. Using the Monte-Carlo methods, we demonstrate how to...

In this work, a Monte Carlo simulation, based on standard Metropolis algorithm, has been applied to investigate magnetic properties of a ferrimagnetic nanoparticle, with a cubic shape and core–shell structure. The nanoparticle is constituted of spin-1/2 in the core surrounded by spin-3/2 in...

Thermodynamic properties of a DNA hairpin are investigated employing non-Boltzmann Monte Carlo simulation. We model the DNA hairpin as a polymer on a two dimensional square lattice. We Consider bond fluctuation model with each bead occupying four-sites. The system exhibits a transition from a...

Histogram Monte-Carlo simulation results are presented for the magnetic-field-temperature phase diagram of the Ising model on a stacked triangular lattice with antiferromagnetic intraplane and ferromagnetic interplane interactions. Finite-size scaling results for this frustrated system at three...

Transport between a drifting and a non-drifting gas near the edge of a thin separating wall is investigated. Monte Carlo simulations show that net transport of particles takes place predominantly near the edge of the wall. The effects of drift velocity, proximity to the edge, Maxwellian speed...

Since its introduction in 2000, the Sznajd model has been assumed to simulate a democratic community with two parties. The main flaw in this model is that a Sznajd system freezes in the long term in a non-democratic state, which can be either a dictatorship or a stalemate configuration. Here we...

This work is concerned with dynamical Monte Carlo (MC) method and its application to models originally formulated in a continuous-deterministic approach. Specifically, a susceptible–infected–removed–susceptible (SIRS) model is used in order to analyze aspects of the dynamical MC algorithm...

We consider the applicability of stochastic global optimization algorithms on test-functions whose domain of definition is a simply-connected and finite interval of real numbers. We argue on the basis of theoretical reflections of statistical physics (namely random-walk) and computer simulations...

We propose a stochastic model of interactive formation of individual expectations regarding the business climate in an industry. Our model is motivated by a business climate survey conducted since 1960 in Germany by the Ifo-institute (www.ifo.de). In accordance with the data structure of this...

On the basis of ab initio calculations (FPLO) and Monte Carlo Simulations (MCS) the phase diagrams and magnetic properties of the bulk perovskite LaMnO3 have been studied, using the Heisenberg model. It is shown, using ab initio calculations in the scalar relativistic scheme, that the stable...