In this study, we develop a different parameter of three term conjugate gradient kind, this
scheme depends principally on pure conjugacy condition (PCC), Whereas, the conjugacy …

The focus for quasi-Newton methods is the quasi-Newton equation. A new quasi-Newton
equation is derived for quadratic function. Then, based on this new quasi-Newton equation …

The nonlinear conjugate gradient method is an effective technique for solving large-scale
minimizations problems, and has a wide range of applications in various fields, such as …

Quasi-Newton method is an efficient method for solving unconstrained optimization
problems. Self-scaling is one of the common approaches in the modification of the quasi …

The quasi-Newton equation is the very foundation of an assortment of the quasi-Newton
methods for optimization minimization problem. In this paper, we deriving a new quasi …

On some studies a conjugate parameter plays an important role for the conjugate gradient
methods. In this paper, a variant of hybrid is provided in the search direction based on the …

One of the major issues in quasi-Newton methods is how to choose an appropriate quasi-
Newton equation while running the algorithm. The quasi-Newton equation proposed by …

One of the most common problems with quasi-Newton methods is how to select the suitable
quasi-Newton equation while operating the algorithm. In this paper, a new modification …

In this article, a modified BFGS method is introduced based on an innovative quasi-Newton
type equation built on the quadratic model. An important property of the introduced method …

Quasi-Newton methods are one of the popular iterative schemes to solve unconstrained
optimization problems. The basic idea of the quasi-Newton method is to update successively …