{"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","_id":"6593","publication_identifier":{"issn":["1017-1398"],"eissn":["1572-9265"]},"type":"journal_article","oa_version":"Submitted Version","ec_funded":1,"doi":"10.1007/s11075-019-00758-y","month":"05","external_id":{"isi":["000528979000015"]},"year":"2020","volume":84,"status":"public","publication_status":"published","article_processing_charge":"No","intvolume":"        84","date_created":"2019-06-27T20:09:33Z","author":[{"full_name":"Shehu, Yekini","last_name":"Shehu","orcid":"0000-0001-9224-7139","id":"3FC7CB58-F248-11E8-B48F-1D18A9856A87","first_name":"Yekini"},{"first_name":"Xiao-Huan","full_name":"Li, Xiao-Huan","last_name":"Li"},{"first_name":"Qiao-Li","full_name":"Dong, Qiao-Li","last_name":"Dong"}],"date_published":"2020-05-01T00:00:00Z","citation":{"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>.","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.","short":"Y. Shehu, X.-H. Li, Q.-L. Dong, Numerical Algorithms 84 (2020) 365–388.","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.","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>","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>.","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>"},"oa":1,"project":[{"call_identifier":"FP7","_id":"25FBA906-B435-11E9-9278-68D0E5697425","grant_number":"616160","name":"Discrete Optimization in Computer Vision: Theory and Practice"}],"language":[{"iso":"eng"}],"corr_author":"1","publisher":"Springer Nature","quality_controlled":"1","abstract":[{"lang":"eng","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."}],"publication":"Numerical Algorithms","isi":1,"day":"01","ddc":["000"],"scopus_import":"1","article_type":"original","department":[{"_id":"VlKo"}],"acknowledgement":"The research of this author is supported by the ERC grant at the IST.","title":"An efficient projection-type method for monotone variational inequalities in Hilbert spaces","date_updated":"2024-11-04T13:52:40Z","file_date_updated":"2020-07-14T12:47:34Z","file":[{"date_created":"2019-10-01T13:14:10Z","content_type":"application/pdf","access_level":"open_access","file_size":359654,"creator":"kschuh","checksum":"bb1a1eb3ebb2df380863d0db594673ba","relation":"main_file","file_id":"6927","date_updated":"2020-07-14T12:47:34Z","file_name":"ExtragradientMethodPaper.pdf"}],"has_accepted_license":"1","page":"365-388"}