Conjugate gradient methods are a class of important methods for solving linear equations
and for solving nonlinear optimization. In this article, a review on conjugate gradient …

Nonlinear conjugate gradient (CG) methods have played an important role in solving large-
scale unconstrained optimization. Their wide application in many fields is due to their low …

In this paper, based on the hybrid conjugate gradient method and the convex combination
technique, a new family of hybrid three-term conjugate gradient methods are proposed for …

In this paper, two families of hybrid conjugate gradient methods with restart procedures are
proposed. Their hybrid conjugate parameters are yielded by projection or convex …

Conjugate gradient (CG) methods have played an important role in solving large-scale
unconstrained optimization. In this paper, we propose a new family of CG coefficients (β k) …

Institute of Computer Science UFO 2022 Interactive System for Universal Functional
Optimization Page 1 Institute of Computer Science Academy of Sciences of the Czech …

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 …

Large accumulation of nitrate in soil has resulted in soil salinization. Nitrate and nitrite
reduction are of great importance for nitrogen assimilation, and understanding the specific …

The iron‐sulfur protein 1 (Isu1) and the J‐type co‐chaperone Jac1 from yeast are part of a
huge ATP‐dependent system, and both interact with Hsp70 chaperones. Interaction of Isu1 …

Using a hybrid simulation method that combines a non-linear conjugate gradient (NCG)
method for solving large-scale unconstrained optimization problems with a Brownian …