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 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 …

The conjugate gradient method is one of the most robust algorithms to solve large-scale
monotone problems due to its limited memory requirements. However, in this article, we …

There are many algorithms are used to solve systems of nonlinear monotone equations with
various advantages and disadvantages, including the line search algorithm, trust region …