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Logarithmic integral optimization via adaptive importance sampling based surrogation methods.

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Title: Logarithmic integral optimization via adaptive importance sampling based surrogation methods.
Authors: He, Ziyu1 (AUTHOR) ziyuhe@usc.edu, Liu, Junyi2 (AUTHOR) junyiliu@tsinghua.edu.cn, Pang, Jong-Shi3 (AUTHOR) jongship@usc.edu
Source: Mathematical Programming. Sep2026, Vol. 219 Issue 1/2, p61-111. 51p.
Database: Business Source Ultimate
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  Data: Logarithmic integral optimization via adaptive importance sampling based surrogation methods.
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  Data: <searchLink fieldCode="AR" term="%22He%2C+Ziyu%22">He, Ziyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ziyuhe@usc.edu</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Junyi%22">Liu, Junyi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> junyiliu@tsinghua.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Pang%2C+Jong-Shi%22">Pang, Jong-Shi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jongship@usc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Programming%22">Mathematical Programming</searchLink>. Sep2026, Vol. 219 Issue 1/2, p61-111. 51p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10107-025-02254-9
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      – Code: eng
        Text: English
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        PageCount: 51
        StartPage: 61
    Titles:
      – TitleFull: Logarithmic integral optimization via adaptive importance sampling based surrogation methods.
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            NameFull: He, Ziyu
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            NameFull: Liu, Junyi
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            NameFull: Pang, Jong-Shi
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            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 219
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              Value: 1/2
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            – TitleFull: Mathematical Programming
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