In traditional works on numerical schemes for solving stochastic differential equations (SDEs), the globally Lipschitz assumption is often assumed to ensure different types of convergence. In practice, this is often too ...

Convergence properties of Shannon Entropy are studied. In the di erential setting, it is known that weak convergence of probability measures (convergence in distribution) is not enough for convergence of the associated ...

The growing demands for industrial products are imposing an increasingly intense level of competitiveness on the industrial operations. In the meantime, the convergence of information technology (IT) and automation ...

In recent years, several attempts to improve the efficiency of the canonical genetic algorithm have been presented. The advantage of the elitist non-homogeneous genetic algorithm is that, variations of the mutation ...

Neste trabalho, mostramos como construir um processo estocástico de Markov e seu espaço de probabilidade a partir das probabilidades de transição e da distribuição inicial. Além disso, mostramos a convergência das matrizes ...

This work addresses the problem of Shannon entropy estimation in countably infinite alphabets studying and adopting some recent convergence results of the entropy functional, which is known to be a discontinuous function ...

In the framework of complete probabilistic Menger metric spaces, this paper investigates some relevant properties of convergence of sequences built through sequences of operators which are either uniformly convergent to ...

We investigate the problem of the rate of convergence to equilibrium for ergodic stochastic differential equations driven by fractional Brownian motion with Hurst parameterH >1/2 and multiplicative noise component σ. ...