[{"article_processing_charge":"No","title":"An efficient projection-type method for monotone variational inequalities in Hilbert spaces","ec_funded":1,"oa_version":"Submitted Version","author":[{"id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","last_name":"Shehu","full_name":"Shehu, Yekini","first_name":"Yekini","orcid":"0000-0001-9224-7139"},{"full_name":"Li, Xiao-Huan","first_name":"Xiao-Huan","last_name":"Li"},{"last_name":"Dong","full_name":"Dong, Qiao-Li","first_name":"Qiao-Li"}],"year":"2020","project":[{"call_identifier":"FP7","_id":"25FBA906-B435-11E9-9278-68D0E5697425","name":"Discrete Optimization in Computer Vision: Theory and Practice","grant_number":"616160"}],"acknowledgement":"The research of this author is supported by the ERC grant at the IST.","date_created":"2019-06-27T20:09:33Z","status":"public","publisher":"Springer Nature","publication_status":"published","date_published":"2020-05-01T00:00:00Z","scopus_import":"1","isi":1,"language":[{"iso":"eng"}],"ddc":["000"],"page":"365-388","day":"01","type":"journal_article","quality_controlled":"1","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","citation":{"short":"Y. Shehu, X.-H. Li, Q.-L. Dong, Numerical Algorithms 84 (2020) 365–388.","ama":"Shehu Y, Li X-H, Dong Q-L. An efficient projection-type method for monotone variational inequalities in Hilbert spaces. <i>Numerical Algorithms</i>. 2020;84:365-388. doi:<a href=\"https://doi.org/10.1007/s11075-019-00758-y\">10.1007/s11075-019-00758-y</a>","ista":"Shehu Y, Li X-H, Dong Q-L. 2020. An efficient projection-type method for monotone variational inequalities in Hilbert spaces. Numerical Algorithms. 84, 365–388.","apa":"Shehu, Y., Li, X.-H., &#38; Dong, Q.-L. (2020). An efficient projection-type method for monotone variational inequalities in Hilbert spaces. <i>Numerical Algorithms</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s11075-019-00758-y\">https://doi.org/10.1007/s11075-019-00758-y</a>","mla":"Shehu, Yekini, et al. “An Efficient Projection-Type Method for Monotone Variational Inequalities in Hilbert Spaces.” <i>Numerical Algorithms</i>, vol. 84, Springer Nature, 2020, pp. 365–88, doi:<a href=\"https://doi.org/10.1007/s11075-019-00758-y\">10.1007/s11075-019-00758-y</a>.","chicago":"Shehu, Yekini, Xiao-Huan Li, and Qiao-Li Dong. “An Efficient Projection-Type Method for Monotone Variational Inequalities in Hilbert Spaces.” <i>Numerical Algorithms</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s11075-019-00758-y\">https://doi.org/10.1007/s11075-019-00758-y</a>.","ieee":"Y. Shehu, X.-H. Li, and Q.-L. Dong, “An efficient projection-type method for monotone variational inequalities in Hilbert spaces,” <i>Numerical Algorithms</i>, vol. 84. Springer Nature, pp. 365–388, 2020."},"file_date_updated":"2020-07-14T12:47:34Z","publication_identifier":{"eissn":["1572-9265"],"issn":["1017-1398"]},"has_accepted_license":"1","doi":"10.1007/s11075-019-00758-y","oa":1,"corr_author":"1","date_updated":"2024-11-04T13:52:40Z","external_id":{"isi":["000528979000015"]},"publication":"Numerical Algorithms","department":[{"_id":"VlKo"}],"volume":84,"month":"05","article_type":"original","file":[{"date_updated":"2020-07-14T12:47:34Z","access_level":"open_access","relation":"main_file","file_name":"ExtragradientMethodPaper.pdf","checksum":"bb1a1eb3ebb2df380863d0db594673ba","creator":"kschuh","content_type":"application/pdf","file_size":359654,"date_created":"2019-10-01T13:14:10Z","file_id":"6927"}],"intvolume":"        84","_id":"6593","abstract":[{"text":"We consider the monotone variational inequality problem in a Hilbert space and describe a projection-type method with inertial terms under the following properties: (a) The method generates a strongly convergent iteration sequence; (b) The method requires, at each iteration, only one projection onto the feasible set and two evaluations of the operator; (c) The method is designed for variational inequality for which the underline operator is monotone and uniformly continuous; (d) The method includes an inertial term. The latter is also shown to speed up the convergence in our numerical results. A comparison with some related methods is given and indicates that the new method is promising.","lang":"eng"}]}]