{"file":[{"date_created":"2020-10-12T10:42:54Z","checksum":"869efe8cb09505dfa6012f67d20db63d","file_id":"8648","access_level":"open_access","relation":"main_file","file_name":"2020_ApplicAnalysis_Shehu.pdf","date_updated":"2021-03-16T23:30:06Z","file_size":4282586,"creator":"dernst","content_type":"application/pdf","embargo":"2021-03-15"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file_date_updated":"2021-03-16T23:30:06Z","page":"192-216","language":[{"iso":"eng"}],"quality_controlled":"1","intvolume":" 101","oa":1,"_id":"7577","volume":101,"author":[{"last_name":"Shehu","full_name":"Shehu, Yekini","orcid":"0000-0001-9224-7139","id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","first_name":"Yekini"},{"last_name":"Iyiola","full_name":"Iyiola, Olaniyi S.","first_name":"Olaniyi S."}],"doi":"10.1080/00036811.2020.1736287","project":[{"call_identifier":"FP7","grant_number":"616160","name":"Discrete Optimization in Computer Vision: Theory and Practice","_id":"25FBA906-B435-11E9-9278-68D0E5697425"}],"external_id":{"arxiv":["2101.08057"],"isi":["000518364100001"]},"publication_status":"published","day":"01","publication":"Applicable Analysis","date_published":"2022-01-01T00:00:00Z","department":[{"_id":"VlKo"}],"oa_version":"Submitted Version","article_type":"original","ec_funded":1,"status":"public","issue":"1","publisher":"Taylor & Francis","publication_identifier":{"issn":["0003-6811"],"eissn":["1563-504X"]},"abstract":[{"lang":"eng","text":"Weak convergence of inertial iterative method for solving variational inequalities is the focus of this paper. The cost function is assumed to be non-Lipschitz and monotone. We propose a projection-type method with inertial terms and give weak convergence analysis under appropriate conditions. Some test results are performed and compared with relevant methods in the literature to show the efficiency and advantages given by our proposed methods."}],"ddc":["510","515","518"],"year":"2022","acknowledgement":"The project of the first author has received funding from the European Research Council (ERC) under the European Union's Seventh Framework Program (FP7 - 2007-2013) (Grant agreement No. 616160).","month":"01","date_updated":"2024-03-05T14:01:52Z","title":"Weak convergence for variational inequalities with inertial-type method","scopus_import":"1","article_processing_charge":"No","isi":1,"date_created":"2020-03-09T07:06:52Z","has_accepted_license":"1","type":"journal_article","citation":{"chicago":"Shehu, Yekini, and Olaniyi S. Iyiola. “Weak Convergence for Variational Inequalities with Inertial-Type Method.” Applicable Analysis. Taylor & Francis, 2022. https://doi.org/10.1080/00036811.2020.1736287.","apa":"Shehu, Y., & Iyiola, O. S. (2022). Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. Taylor & Francis. https://doi.org/10.1080/00036811.2020.1736287","ama":"Shehu Y, Iyiola OS. Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. 2022;101(1):192-216. doi:10.1080/00036811.2020.1736287","ieee":"Y. Shehu and O. S. Iyiola, “Weak convergence for variational inequalities with inertial-type method,” Applicable Analysis, vol. 101, no. 1. Taylor & Francis, pp. 192–216, 2022.","ista":"Shehu Y, Iyiola OS. 2022. Weak convergence for variational inequalities with inertial-type method. Applicable Analysis. 101(1), 192–216.","short":"Y. Shehu, O.S. Iyiola, Applicable Analysis 101 (2022) 192–216.","mla":"Shehu, Yekini, and Olaniyi S. Iyiola. “Weak Convergence for Variational Inequalities with Inertial-Type Method.” Applicable Analysis, vol. 101, no. 1, Taylor & Francis, 2022, pp. 192–216, doi:10.1080/00036811.2020.1736287."}}