{"day":"01","year":"2019","publication_status":"published","ec_funded":1,"quality_controlled":"1","oa":1,"article_type":"original","publication":"Computational and Applied Mathematics","external_id":{"isi":["000488973100005"],"arxiv":["2101.09081"]},"date_created":"2019-11-12T12:41:44Z","status":"public","citation":{"ista":"Shehu Y, Iyiola OS, Li X-H, Dong Q-L. 2019. Convergence analysis of projection method for variational inequalities. Computational and Applied Mathematics. 38(4), 161.","ieee":"Y. Shehu, O. S. Iyiola, X.-H. Li, and Q.-L. Dong, “Convergence analysis of projection method for variational inequalities,” <i>Computational and Applied Mathematics</i>, vol. 38, no. 4. Springer Nature, 2019.","mla":"Shehu, Yekini, et al. “Convergence Analysis of Projection Method for Variational Inequalities.” <i>Computational and Applied Mathematics</i>, vol. 38, no. 4, 161, Springer Nature, 2019, doi:<a href=\"https://doi.org/10.1007/s40314-019-0955-9\">10.1007/s40314-019-0955-9</a>.","short":"Y. Shehu, O.S. Iyiola, X.-H. Li, Q.-L. Dong, Computational and Applied Mathematics 38 (2019).","ama":"Shehu Y, Iyiola OS, Li X-H, Dong Q-L. Convergence analysis of projection method for variational inequalities. <i>Computational and Applied Mathematics</i>. 2019;38(4). doi:<a href=\"https://doi.org/10.1007/s40314-019-0955-9\">10.1007/s40314-019-0955-9</a>","chicago":"Shehu, Yekini, Olaniyi S. Iyiola, Xiao-Huan Li, and Qiao-Li Dong. “Convergence Analysis of Projection Method for Variational Inequalities.” <i>Computational and Applied Mathematics</i>. Springer Nature, 2019. <a href=\"https://doi.org/10.1007/s40314-019-0955-9\">https://doi.org/10.1007/s40314-019-0955-9</a>.","apa":"Shehu, Y., Iyiola, O. S., Li, X.-H., &#38; Dong, Q.-L. (2019). Convergence analysis of projection method for variational inequalities. <i>Computational and Applied Mathematics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s40314-019-0955-9\">https://doi.org/10.1007/s40314-019-0955-9</a>"},"scopus_import":"1","intvolume":"        38","author":[{"last_name":"Shehu","orcid":"0000-0001-9224-7139","id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","full_name":"Shehu, Yekini","first_name":"Yekini"},{"last_name":"Iyiola","first_name":"Olaniyi S.","full_name":"Iyiola, Olaniyi S."},{"first_name":"Xiao-Huan","full_name":"Li, Xiao-Huan","last_name":"Li"},{"first_name":"Qiao-Li","full_name":"Dong, Qiao-Li","last_name":"Dong"}],"publisher":"Springer Nature","_id":"7000","ddc":["510","515","518"],"doi":"10.1007/s40314-019-0955-9","department":[{"_id":"VlKo"}],"article_number":"161","abstract":[{"text":"The main contributions of this paper are the proposition and the convergence analysis of a class of inertial projection-type algorithm for solving variational inequality problems in real Hilbert spaces where the underline operator is monotone and uniformly continuous. We carry out a unified analysis of the proposed method under very mild assumptions. In particular, weak convergence of the generated sequence is established and nonasymptotic O(1 / n) rate of convergence is established, where n denotes the iteration counter. We also present some experimental results to illustrate the profits gained by introducing the inertial extrapolation steps.","lang":"eng"}],"has_accepted_license":"1","date_updated":"2023-08-30T07:20:32Z","language":[{"iso":"eng"}],"date_published":"2019-12-01T00:00:00Z","main_file_link":[{"url":"https://doi.org/10.1007/s40314-019-0955-9","open_access":"1"}],"isi":1,"type":"journal_article","issue":"4","month":"12","project":[{"name":"Discrete Optimization in Computer Vision: Theory and Practice","grant_number":"616160","_id":"25FBA906-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","article_processing_charge":"No","publication_identifier":{"issn":["2238-3603"],"eissn":["1807-0302"]},"title":"Convergence analysis of projection method for variational inequalities","volume":38,"oa_version":"Published Version"}