{"intvolume":"       184","volume":184,"year":"2020","isi":1,"file_date_updated":"2021-03-16T23:30:04Z","acknowledgement":"We are grateful to the anonymous referees and editor whose insightful comments helped to considerably improve an earlier version of this paper. The research of the first author is supported by an ERC Grant from the Institute of Science and Technology (IST).","ddc":["518","510","515"],"project":[{"call_identifier":"FP7","grant_number":"616160","name":"Discrete Optimization in Computer Vision: Theory and Practice","_id":"25FBA906-B435-11E9-9278-68D0E5697425"}],"page":"877–894","doi":"10.1007/s10957-019-01616-6","publication":"Journal of Optimization Theory and Applications","has_accepted_license":"1","author":[{"last_name":"Shehu","first_name":"Yekini","full_name":"Shehu, Yekini","id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9224-7139"},{"full_name":"Gibali, Aviv","last_name":"Gibali","first_name":"Aviv"},{"first_name":"Simone","last_name":"Sagratella","full_name":"Sagratella, Simone"}],"external_id":{"isi":["000511805200009"]},"publication_identifier":{"eissn":["1573-2878"],"issn":["0022-3239"]},"ec_funded":1,"article_type":"original","citation":{"short":"Y. Shehu, A. Gibali, S. Sagratella, Journal of Optimization Theory and Applications 184 (2020) 877–894.","ama":"Shehu Y, Gibali A, Sagratella S. Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces. <i>Journal of Optimization Theory and Applications</i>. 2020;184:877–894. doi:<a href=\"https://doi.org/10.1007/s10957-019-01616-6\">10.1007/s10957-019-01616-6</a>","apa":"Shehu, Y., Gibali, A., &#38; Sagratella, S. (2020). Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces. <i>Journal of Optimization Theory and Applications</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10957-019-01616-6\">https://doi.org/10.1007/s10957-019-01616-6</a>","chicago":"Shehu, Yekini, Aviv Gibali, and Simone Sagratella. “Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces.” <i>Journal of Optimization Theory and Applications</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s10957-019-01616-6\">https://doi.org/10.1007/s10957-019-01616-6</a>.","ista":"Shehu Y, Gibali A, Sagratella S. 2020. Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces. Journal of Optimization Theory and Applications. 184, 877–894.","ieee":"Y. Shehu, A. Gibali, and S. Sagratella, “Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces,” <i>Journal of Optimization Theory and Applications</i>, vol. 184. Springer Nature, pp. 877–894, 2020.","mla":"Shehu, Yekini, et al. “Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces.” <i>Journal of Optimization Theory and Applications</i>, vol. 184, Springer Nature, 2020, pp. 877–894, doi:<a href=\"https://doi.org/10.1007/s10957-019-01616-6\">10.1007/s10957-019-01616-6</a>."},"language":[{"iso":"eng"}],"_id":"7161","oa":1,"oa_version":"Submitted Version","date_created":"2019-12-09T21:33:44Z","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publisher":"Springer Nature","scopus_import":"1","title":"Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces","quality_controlled":"1","status":"public","file":[{"date_created":"2020-10-12T10:40:27Z","file_size":332641,"file_id":"8647","date_updated":"2021-03-16T23:30:04Z","embargo":"2021-03-15","file_name":"2020_JourOptimizationTheoryApplic_Shehu.pdf","access_level":"open_access","creator":"dernst","content_type":"application/pdf","relation":"main_file","checksum":"9f6dc6c6bf2b48cb3a2091a9ed5feaf2"}],"type":"journal_article","day":"01","month":"03","article_processing_charge":"No","date_updated":"2023-09-06T11:27:15Z","date_published":"2020-03-01T00:00:00Z","publication_status":"published","department":[{"_id":"VlKo"}],"abstract":[{"text":"In this paper, we introduce an inertial projection-type method with different updating strategies for solving quasi-variational inequalities with strongly monotone and Lipschitz continuous operators in real Hilbert spaces. Under standard assumptions, we establish different strong convergence results for the proposed algorithm. Primary numerical experiments demonstrate the potential applicability of our scheme compared with some related methods in the literature.","lang":"eng"}]}