Inertial accelerated algorithms for solving a split feasibility problem
dc.contributor.author | Dang, Y. | |
dc.contributor.author | Sun, Jie | |
dc.contributor.author | Xu, Honglei | |
dc.date.accessioned | 2017-08-24T02:22:42Z | |
dc.date.available | 2017-08-24T02:22:42Z | |
dc.date.created | 2017-08-23T07:21:41Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Dang, Y. and Sun, J. and Xu, H. 2017. Inertial accelerated algorithms for solving a split feasibility problem. Journal of Industrial and management optimization. 13 (3): pp. 1383-1394. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/56140 | |
dc.identifier.doi | 10.3934/jimo.2016078 | |
dc.description.abstract |
Inspired by the inertial proximal algorithms for finding a zero of a maximal monotone operator, in this paper, we propose two inertial accel erated algorithms to solve the split feasibility problem. One is an inertial relaxed-CQ algorithm constructed by applying inertial technique to a relaxed- CQ algorithm, the other is a modified inertial relaxed-CQ algorithm which combines the KM method with the inertial relaxed-CQ algorithm. We prove their asymptotical convergence under some suitable conditions. Numerical re sults are reported to show the effectiveness of the proposed algorithms. | |
dc.publisher | American Institute of Mathematical Sciences | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/DP160102819 | |
dc.title | Inertial accelerated algorithms for solving a split feasibility problem | |
dc.type | Journal Article | |
dcterms.source.volume | 13 | |
dcterms.source.number | 3 | |
dcterms.source.startPage | 1383 | |
dcterms.source.endPage | 1394 | |
dcterms.source.issn | 1547-5816 | |
dcterms.source.title | Journal of Industrial and Management Optimization | |
curtin.note |
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Industrial and Management Optimization following peer review. The definitive publisher-authenticated version cited above is available online at: http://doi.org/10.3934/jimo.2016078 | |
curtin.department | Department of Mathematics and Statistics | |
curtin.accessStatus | Open access |