A Limited-Memory BFGS Algorithm Based on a Trust-Region Quadratic Model for Large-Scale Nonlinear Equations

In this paper, a trust-region algorithm is proposed for large-scale nonlinear equations, where the limited-memory BFGS (L-M-BFGS) update matrix is used in the trust-region subproblem to improve the effectiveness of the algorithm for large-scale problems. The global convergence of the presented metho...

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Detalles Bibliográficos
Autores principales: Li, Yong, Yuan, Gonglin, Wei, Zengxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423997/
https://www.ncbi.nlm.nih.gov/pubmed/25950725
http://dx.doi.org/10.1371/journal.pone.0120993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423997/
https://www.ncbi.nlm.nih.gov/pubmed/25950725
http://dx.doi.org/10.1371/journal.pone.0120993

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