In this article, we propose the reproducing kernel Hilbert space method to obtain the exact
and the numerical solutions of fuzzy Fredholm–Volterra integrodifferential equations. The …

In this paper, continuous genetic algorithm is introduced as an efficient solver for systems of
second-order boundary value problems where smooth solution curves are used throughout …

Modeling of uncertainty differential equations is very important issue in applied sciences and
engineering, while the natural way to model such dynamical systems is to use fuzzy …

In a recent development, the legacy of fractional-order multi-dimensional chaotic systems
has attracted numerous researchers owing to their valuable applications in cryptology …

The presented study deals with the exploitation of the artificial intelligence knacks-based
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …

The reproducing kernel method is a numerical as well as analytical technique for solving a
large variety of ordinary and partial differential equations associated to different kind of …

In this paper, a coupled system of fractional differential equations along with integral
boundary conditions is discussed by means of the iterative reproducing kernel algorithm …

To provide useful and accurate recommendations, the role of recommender systems for e-
commerce industry is to predict users' interest by approximating users' preferences and …

Our aim in this paper is presenting an attractive numerical approach giving an accurate
solution to the nonlinear fractional Abel differential equation based on a reproducing kernel …

Optimal reactive power dispatch (ORPD) with integration of renewable energy resources
has a growing interest in research community due to its utmost requirements during the …