There are many methods derived from the conjugate gradient method, the most famous of
which is the FR method (Fletcher–Reeves). Most of the methods are found to solve large …

The derivative-free projection methodology is important and highly efficient method to solve
large scale monotone equations of nonlinear systems. In this work, we suggested a new …

The conjugate gradient projection method is an important and efficient method to find the
minimum value of the function for unconstrained optimization problems. In this work, we …

The trust region method is one of the important and effective ways to solve optimization
problems due to its robust and accuracy in its convergence. One of its disadvantages is that …

Abstract The Conjugate Gradient (CG) method of unconstrained optimization algorithms
possesses good properties like less requirement memory and global convergence …

Conjugate gradient methods more used in the field of unconstrained optimization,
particularly large scale problems, Armijo condition one of the simple rule are commonly …

In this work, we combine adaptive trust region method TRM with nonmonotone strategy to
introduce a new algorithm to solve systems of unconstrained optimization problems …

The major aim of this paper is to find a solution for systems of non-linear equations, a new
method is suggested by combining the trust region method (TRM) with BFGS technique …

This paper focuses on the reliability of complex networks, which has been calculated as a
complex system by using minimal cuts. The reliability of this system has been assigned to …

Counting data (including zero counts) appear in a variety of applications, so counting
models have become popular in many fields. In statistical fields, count data can be defined …