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A Newton Frank–Wolfe method for constrained self-concordant minimization.

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Title: A Newton Frank–Wolfe method for constrained self-concordant minimization.
Authors: Liu, Deyi1, Cevher, Volkan2, Tran-Dinh, Quoc1, quoctd@email.unc.edu
Source: Journal of Global Optimization; Jun2022, Vol. 83 Issue 2, p273-299, 27p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157023966
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  Data: A Newton Frank–Wolfe method for constrained self-concordant minimization.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Deyi%22">Liu, Deyi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Cevher%2C+Volkan%22">Cevher, Volkan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Tran-Dinh%2C+Quoc%22">Tran-Dinh, Quoc</searchLink><relatesTo>1</relatesTo>, <i>quoctd@email.unc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Global+Optimization%22">Journal of Global Optimization</searchLink>; Jun2022, Vol. 83 Issue 2, p273-299, 27p
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      – Type: doi
        Value: 10.1007/s10898-021-01105-z
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 273
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      – TitleFull: A Newton Frank–Wolfe method for constrained self-concordant minimization.
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            NameFull: Liu, Deyi
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            NameFull: Cevher, Volkan
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            NameFull: Tran-Dinh, Quoc
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            – D: 01
              M: 06
              Text: Jun2022
              Type: published
              Y: 2022
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              Value: 83
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            – TitleFull: Journal of Global Optimization
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