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A Liu-Storey-type conjugate gradient method for unconstrained minimization problem with application in motion control.
- Source :
- Journal of King Saud University - Science; Jun2022, Vol. 34 Issue 4, pN.PAG-N.PAG, 1p
- Publication Year :
- 2022
-
Abstract
- Conjugate gradient methods have played a vital role in finding the minimizers of large-scale unconstrained optimization problems due to the simplicity of their iteration, convergence properties and their low memory requirements. Based on the Liu-Storey conjugate gradient method, in this paper, we present a Liu-Storey type method for finding the minimizers of large-scale unconstrained optimization problems. The direction of the proposed method is constructed in such a way that the sufficient descent condition is satisfied. Furthermore, we establish the global convergence result of the method under the standard Wolfe and Armijo-like line searches. Numerical findings indicate that our presented approach is efficient and robust in solving large-scale test problems. In addition, an application of the method is explored. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10183647
- Volume :
- 34
- Issue :
- 4
- Database :
- Supplemental Index
- Journal :
- Journal of King Saud University - Science
- Publication Type :
- Academic Journal
- Accession number :
- 157077549
- Full Text :
- https://doi.org/10.1016/j.jksus.2022.101923