The hybrid conjugate gradient (CG) method is among the efficient variants of CG method for
solving optimization problems. This is due to their low memory requirements and nice …

Unconstrained optimization problems have a long history in computational mathematics and
have been identified as being among the crucial problems in the fields of applied sciences …

In this article, we present a new hybrid conjugate gradient method for solving large Scale in
unconstrained optimization problems. This method is a convex combination of Dai-Yuan …

Conjugate gradient (CG), as an effective technique to speed up gradient descent algorithms,
has shown great potential and has widely been used for large-scale machine-learning …

The conjugate gradient method was an efficient technique for solving optimization problems.
In this paper, we propose a new efficient (CG) coefficient, kb is computed as a convex …

Noise is an unavoidable aspect of modern camera technology, causing a decline in the
overall visual quality of the images. Efforts are underway to diminish noise without …

A new scaled conjugate gradient (SCG) method is proposed throughout this paper, the SCG
technique may be a special important generalization conjugate gradient (CG) method, and it …

Given that the conjugate gradient method (CGM) is computationally efficient and user-
friendly, it is often used to address large-scale, unconstrained minimization issues …

Technology advancement requairs more efficient methods for solving its problems. For this
purpose, scientiests in engineering, physics, chemistry and other branches try to find …

The spectral conjugate gradient (SCG) method is an effective method to solve large-scale
nonlinear unconstrained optimization problems. In this work, we propose a new SCG …