Strong Convergence of a Projected Gradient Method

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2012 English Publisher:WileyJournal:Journal of Applied Mathematics, volume 2,012 (issn: 1110-757X, eissn: 1687-0042,

Copyright policy )

Authors: Shunhou Fan; Yonghong Yao;

doi: 10.1155/2012/410137

Strong Convergence of a Projected Gradient Method

- Summary
- Subjects
- Metrics

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.

Related Organizations

Tianjin Polytechnic University
China (People's Republic of)

Keywords

strong convergence, Iterative procedures involving nonlinear operators, QA1-939, Existence theories for problems in abstract spaces, projected-gradient method, constrained convex optimization, Mathematics

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

0

Average

gold

Fields of Science (4) View all

Fields of Science