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<titleInfo><title>Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces</title></titleInfo>


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<name type="personal">
  <namePart type="given">Yekini</namePart>
  <namePart type="family">Shehu</namePart>
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  <namePart type="given">Aviv</namePart>
  <namePart type="family">Gibali</namePart>
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  <namePart type="given">Simone</namePart>
  <namePart type="family">Sagratella</namePart>
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  <namePart>Discrete Optimization in Computer Vision: Theory and Practice</namePart>
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<abstract lang="eng">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.</abstract>

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    <url displayLabel="2020_JourOptimizationTheoryApplic_Shehu.pdf">https://research-explorer.ista.ac.at/download/7161/8647/2020_JourOptimizationTheoryApplic_Shehu.pdf</url>
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<originInfo><publisher>Springer Nature</publisher><dateIssued encoding="w3cdtf">2020</dateIssued>
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<relatedItem type="host"><titleInfo><title>Journal of Optimization Theory and Applications</title></titleInfo>
  <identifier type="issn">0022-3239</identifier>
  <identifier type="eIssn">1573-2878</identifier>
  <identifier type="ISI">000511805200009</identifier><identifier type="doi">10.1007/s10957-019-01616-6</identifier>
<part><detail type="volume"><number>184</number></detail><extent unit="pages">877–894</extent>
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<chicago>Shehu, Yekini, Aviv Gibali, and Simone Sagratella. “Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces.” &lt;i&gt;Journal of Optimization Theory and Applications&lt;/i&gt;. Springer Nature, 2020. &lt;a href=&quot;https://doi.org/10.1007/s10957-019-01616-6&quot;&gt;https://doi.org/10.1007/s10957-019-01616-6&lt;/a&gt;.</chicago>
<mla>Shehu, Yekini, et al. “Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces.” &lt;i&gt;Journal of Optimization Theory and Applications&lt;/i&gt;, vol. 184, Springer Nature, 2020, pp. 877–894, doi:&lt;a href=&quot;https://doi.org/10.1007/s10957-019-01616-6&quot;&gt;10.1007/s10957-019-01616-6&lt;/a&gt;.</mla>
<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.</ista>
<ieee>Y. Shehu, A. Gibali, and S. Sagratella, “Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces,” &lt;i&gt;Journal of Optimization Theory and Applications&lt;/i&gt;, vol. 184. Springer Nature, pp. 877–894, 2020.</ieee>
<apa>Shehu, Y., Gibali, A., &amp;#38; Sagratella, S. (2020). Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces. &lt;i&gt;Journal of Optimization Theory and Applications&lt;/i&gt;. Springer Nature. &lt;a href=&quot;https://doi.org/10.1007/s10957-019-01616-6&quot;&gt;https://doi.org/10.1007/s10957-019-01616-6&lt;/a&gt;</apa>
<ama>Shehu Y, Gibali A, Sagratella S. Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces. &lt;i&gt;Journal of Optimization Theory and Applications&lt;/i&gt;. 2020;184:877–894. doi:&lt;a href=&quot;https://doi.org/10.1007/s10957-019-01616-6&quot;&gt;10.1007/s10957-019-01616-6&lt;/a&gt;</ama>
<short>Y. Shehu, A. Gibali, S. Sagratella, Journal of Optimization Theory and Applications 184 (2020) 877–894.</short>
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