Cargando…
A modified three-term PRP conjugate gradient algorithm for optimization models
The nonlinear conjugate gradient (CG) algorithm is a very effective method for optimization, especially for large-scale problems, because of its low memory requirement and simplicity. Zhang et al. (IMA J. Numer. Anal. 26:629-649, 2006) firstly propose a three-term CG algorithm based on the well know...
Autor principal: | Wu, Yanlin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415590/ https://www.ncbi.nlm.nih.gov/pubmed/28529434 http://dx.doi.org/10.1186/s13660-017-1373-4 |
Ejemplares similares
-
Two New PRP Conjugate Gradient Algorithms for Minimization Optimization Models
por: Yuan, Gonglin, et al.
Publicado: (2015) -
The Modified HZ Conjugate Gradient Algorithm for Large-Scale Nonsmooth Optimization
por: Yuan, Gonglin, et al.
Publicado: (2016) -
Conjugate gradient algorithms in nonconvex optimization
por: Pytlak, Radoslaw
Publicado: (2008) -
A HS-PRP-Type Hybrid Conjugate Gradient Method with Sufficient Descent Property
por: Wu, Xiaodi, et al.
Publicado: (2021) -
On three-term conjugate gradient method for optimization problems with applications on COVID-19 model and robotic motion control
por: Sulaiman, Ibrahim Mohammed, et al.
Publicado: (2022)