The coefficient conjugate serves as the foundation for many conjugate gradient methods.
The quadratic model is used to derive a novel coefficient conjugate in this study. Its global …

The conjugate gradient approach is a powerful tool that is used in a variety of areas to solve
problems involving large-scale reduction. In this paper, we propose a new parameter in …

A conjugate optimal coefficient is a crucial characteristic of conjugate gradient algorithms.
The idea of accelerating the conjugate gradient by utilizing the conjugacy condition …

Quasi-Newton methods (QN) are very useful in finding the optimal solution to the
unconstrained optimization problems. The updated Hessian approximations fulfill the …

As the objective function in complex structural optimization problems is implicit, in the
present improved Newton method using the higher-order approximation, a new and simple …

Optimization problems occur in most disciplines like engineering, physics, mathematics,
economics, administration, commerce, social sciences, and even politics. The conjugate …

Conjugate gradient algorithms come in a wide range of flavors. Conjugate gradient
techniques primarily concentrate on the coefficient conjugate. We introduce a novel …

The conjugate gradient methods are outstanding by choosing a suitable for coefficient
conjugate. In this paper, a modified version of the conjugate gradient algorithm suggested …

An effective iterative technique, conjugate gradient algorithm is based on the conjugate
gradient parameters. By satisfying the conjugacy requirement, one may construct an …

The formula conjugate is usually the focal point in conjugate gradient techniques. In this
paper, the Perry's conjugacy condition and quadratic model are used to derive a new …