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TRUST REGION WITH NONLINEAR CONJUGATE GRADIENT METHOD [PDF]
International Journal of Pure and Apllied Mathematics, 2015 D. Hachelfi +2 more
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A New Paired Spectral Gradient Method to Improve Unconstrained and Non-Linear Optimization [PDF]
Kirkuk Journal of Science, 2023 The conjugated spectral gradient (SCG) method is an effective method for non-constrained large-scale nonlinear optimization. In this work, a new spectral conjugate gradient method is proposed with a strong Wolfe-Powell line search (SWP). The new proposal
Siham Aziz, Zeyad Abdullah
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New modification of the hestenes-stiefel with strong wolfe line search [PDF]
, 2021 . The method of the nonlinear conjugate gradient is widely used in solving large-scale unconstrained optimization since been proven in solving optimization problems without using large memory storage.
Basri, Srimazzura +2 more
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Comparison Between Steepest Descent Method and Conjugate Gradient Method by Using Matlab
Journal of Studies in Science and Engineering, 2021 The Steepest descent method and the Conjugate gradient method to minimize nonlinear functions have been studied in this work. Algorithms are presented and implemented in Matlab software for both methods.
Dana Taha Mohammed Salih +1 more
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New iterative conjugate gradient method for nonlinear unconstrained optimization
RAIRO Oper. Res., 2022 Conjugate gradient methods (CG) are an important class of methods for solving unconstrained optimization problems, especially for large-scale problems. Recently, they have been much studied.
Sabrina Ben Hanachi +2 more
semanticscholar +1 more source
A New Modified Conjugate Gradient for Nonlinear Minimization Problems
Science Journal of University of Zakho, 2022 The conjugate gradient is a highly effective technique to solve the unconstrained nonlinear minimization problems and it is one of the most well-known methods. It has a lot of applications.
Hussein Ageel Khatab, Salah G. Sharef
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, 2021 Conjugate gradient methods more used in the field of unconstrained optimization, particularly large scale problems, Armijo condition one of the simple rule are commonly used to analyses and applications of CG methods.
H. Wasi, M. A. Shiker
semanticscholar +1 more source
Two efficient modifications of AZPRP conjugate gradient method with sufficient descent property
Journal of Inequalities and Applications, 2022 The conjugate gradient method can be applied in many fields, such as neural networks, image restoration, machine learning, deep learning, and many others.
Zabidin Salleh +2 more
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A Modified Hybrid Conjugate Gradient Method for Unconstrained Optimization
Journal of Mathematics, 2021 The nonlinear conjugate gradient algorithms are a very effective way in solving large-scale unconstrained optimization problems. Based on some famous previous conjugate gradient methods, a modified hybrid conjugate gradient method was proposed.
Minglei Fang +3 more
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An Inexact Optimal Hybrid Conjugate Gradient Method for Solving Symmetric Nonlinear Equations
Symmetry, 2021 This article presents an inexact optimal hybrid conjugate gradient (CG) method for solving symmetric nonlinear systems. The method is a convex combination of the optimal Dai–Liao (DL) and the extended three-term Polak–Ribiére–Polyak (PRP) CG methods ...
J. Sabi’u +4 more
semanticscholar +1 more source