The use of electrical stimulation (ES) as a management tool to improve meat quality and
efficiency of meat processing is reviewed. The basis of the efficacy of ES is its ability to fast …

Purpose This study aims to introduce a modern higher efficiency predictor–corrector iterative
algorithm. Design/methodology/approach Furthermore, the efficiency of new algorithm is …

This article is concerned with the optimal tracking control problem of the coupled Markov
jump system (CMJS) by using the reinforcement learning (RL) technique. Based on the …

In this paper, we propose a new method, which is set up by incorporating an inertial step
with the extragradient method for solving a strongly pseudomonotone equilibrium problems …

We consider quasi-Newton methods for generalized equations in Banach spaces under
metric regularity and give a sufficient condition for q-linear convergence. Then we show that …

The solutions of equations are usually found using iterative methods whose convergence
order is determined by Taylor expansions. In particular, the local convergence of the method …

The main objective of this article is to propose a new method that would extend Popov's
extragradient method by changing two natural projections with two convex optimization …

It is a well-known fact that there exist functions that have nowhere first order derivative, but
possess continuous Riemann-Liouville and Caputo fractional derivatives of all orders less …

A local convergence analysis is presented for a fast two-step Newton-like method (TSNLM)
for solving nonlinear equations in a Banach space setting. The TSNLM unifies earlier …

This textbook is a comprehensive introduction to computational mathematics and scientific
computing suitable for undergraduate and postgraduate courses. It presents both practical …