ARTICLES

Filter  
Active filters 0
Remove
  

Refine your searches by:

Collections
Biology
Pure sciences
Environment
Technology
Chemistry
Geography
Agronomy and forestry
Research
Geology
Physical
all records (74)

Languages
English
Spanish
Portuguese
German
French

Countries
USA
Indonesia
Brazil
Ukraine
Italy
Switzerland
Mexico
India
Chile
Spain
all records (76)

Years
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
all records (24)

Filter  
 
6.100  Articles
1 of 610 pages  |  10  records  |  more records»
The nonlinear conjugate gradient method is widely used to solve unconstrained optimization problems. In this paper the development of different versions of nonlinear conjugate gradient methods with global convergence properties proved. Numerical results i... see more

The nonlinear conjugate gradient method is widely used to solve unconstrained optimization problems. In this paper the development of different versions of nonlinear conjugate gradient methods with global convergence properties proved. Numerical results i... see more

Conjugate gradient (CG) methods are among the most efficient numerical methods for solving unconstrained optimization problems. This is due to their simplicty and  less computational cost in solving large-scale nonlinear problems. In this paper, we p... see more

In this article, we will present a generalizations of the n?w technique for sp?ctral conjugat? gradient methods based on the descent condition that by using a simple method to prove the global conv?rgence of the n?w method without the Wolf? line searches.... see more

In this article, we will present a generalizations of the n?w technique for sp?ctral conjugat? gradient methods based on the descent condition that by using a simple method to prove the global conv?rgence of the n?w method without the Wolf? line searches.... see more

A modified spectral methods for solving unconstrained optimization problems based on the formulae are derived which are given in [4, 5]. The proposed methods satisfied the descent condition. Moreover, we prove that the new spectral methods are globally co... see more

A modified spectral methods for solving unconstrained optimization problems based on the formulae are derived which are given in [4, 5]. The proposed methods satisfied the descent condition. Moreover, we prove that the new spectral methods are globally co... see more

In this paper, a new type nonlinear conjugate gradient method based on the ScaleMatrix is derived. The new method has the decent and globally convergentproperties under some assumptions. Numerical results indicate the efficiency ofthis method to solve the... see more

This article presents a modified quadratic hybridization of the Polak–Ribiere–Polyak and Fletcher–Reeves conjugate gradient method for solving unconstrained optimization problems. Global convergence, with the strong Wolfe line search conditions, of the pr... see more

1 of 610 pages  |  10  records  |  more records»