The Modified HZ Conjugate Gradient Algorithm for Large-Scale Nonsmooth Optimization.
Where this comes from
- Record sourced from PubMed, PMID 27780245.
- Also identified by DOI 10.1371/journal.pone.0164289 and PMC identifier 5079589.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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 methods can be better efficiency for large-scale nonsmooth problems, and several problems are tested (with the maximum dimensions to 100,000 variables).
Medical subject headings
- Algorithms