{"volume":38,"publication_identifier":{"issn":["2238-3603"],"eissn":["1807-0302"]},"project":[{"name":"Discrete Optimization in Computer Vision: Theory and Practice","grant_number":"616160","_id":"25FBA906-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"article_processing_charge":"No","issue":"4","language":[{"iso":"eng"}],"ddc":["510","515","518"],"doi":"10.1007/s40314-019-0955-9","publication_status":"published","department":[{"_id":"VlKo"}],"_id":"7000","date_published":"2019-12-01T00:00:00Z","author":[{"id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","last_name":"Shehu","orcid":"0000-0001-9224-7139","first_name":"Yekini","full_name":"Shehu, Yekini"},{"first_name":"Olaniyi S.","full_name":"Iyiola, Olaniyi S.","last_name":"Iyiola"},{"last_name":"Li","first_name":"Xiao-Huan","full_name":"Li, Xiao-Huan"},{"full_name":"Dong, Qiao-Li","first_name":"Qiao-Li","last_name":"Dong"}],"scopus_import":"1","year":"2019","main_file_link":[{"url":"https://doi.org/10.1007/s40314-019-0955-9","open_access":"1"}],"intvolume":"        38","date_created":"2019-11-12T12:41:44Z","publisher":"Springer Nature","external_id":{"arxiv":["2101.09081"]},"date_updated":"2021-01-25T15:40:17Z","oa":1,"quality_controlled":"1","type":"journal_article","citation":{"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.","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>","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>","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.","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>.","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>."},"ec_funded":1,"title":"Convergence analysis of projection method for variational inequalities","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Computational and Applied Mathematics","month":"12","article_type":"original","has_accepted_license":"1","oa_version":"Published Version","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"}],"day":"01"}