Strong Convergence of a Projected Gradient Method
Shunhou Fan and
Yonghong Yao
Journal of Applied Mathematics, 2012, vol. 2012, issue 1
Abstract:
The projected‐gradient method is a powerful tool for solving constrained convex optimization problems and has extensively been studied. In the present paper, a projected‐gradient method is presented for solving the minimization problem, and the strong convergence analysis of the suggested gradient projection method is given.
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2012/410137
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2012:y:2012:i:1:n:410137
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().