Cargando…
The Modified HZ Conjugate Gradient Algorithm for Large-Scale Nonsmooth Optimization
In this paper, the Hager and Zhang (HZ) conjugate gradient (CG) method and the modified HZ (MHZ) CG method are presented for large-scale nonsmooth convex minimization. Under some mild conditions, convergent results of the proposed methods are established. Numerical results show that the presented me...
Autores principales: | Yuan, Gonglin, Sheng, Zhou, Liu, Wenjie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079589/ https://www.ncbi.nlm.nih.gov/pubmed/27780245 http://dx.doi.org/10.1371/journal.pone.0164289 |
Ejemplares similares
-
An active-set algorithm for solving large-scale nonsmooth optimization models with box constraints
por: Li, Yong, et al.
Publicado: (2018) -
A conjugate gradient algorithm for large-scale unconstrained optimization problems and nonlinear equations
por: Yuan, Gonglin, et al.
Publicado: (2018) -
Two New PRP Conjugate Gradient Algorithms for Minimization Optimization Models
por: Yuan, Gonglin, et al.
Publicado: (2015) -
A Modified BFGS Formula Using a Trust Region Model for Nonsmooth Convex Minimizations
por: Cui, Zengru, et al.
Publicado: (2015) -
Numerical nonsmooth optimization: state of the art algorithms
por: Bagirov, Adil, et al.
Publicado: (2020)