On the Regularization of the Supremum Function in the Bidual Space.

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Title: On the Regularization of the Supremum Function in the Bidual Space.
Authors: Correa, Rafael1 (AUTHOR) rcorrea@dim.uchile.cl, Hantoute, Abderrahim2 (AUTHOR) hantoute@ua.es, López, Marco A.2 (AUTHOR) marco.antonio@ua.es
Source: Journal of Optimization Theory & Applications. Feb2026, Vol. 208 Issue 2, p1-23. 23p.
Subjects: Mathematical regularization, Subdifferentials, Mathematical functions, Duality theory (Mathematics), Banach spaces, Convex programming
Abstract: Conditions allowing the interchange between the supremum and biconjugation in the bidual space are provided. We establish alternative characterizations which involve both approximate and exact subdifferential calculus rules for the supremum. The so-called concave-like setting, which covers the particular case of finite families, gives rise to simpler criteria. We give an application to the regularization problem in convex optimization. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Optimization Theory & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Optimization+Theory+%26+Applications%22">Journal of Optimization Theory & Applications</searchLink>. Feb2026, Vol. 208 Issue 2, p1-23. 23p.
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+regularization%22">Mathematical regularization</searchLink><br /><searchLink fieldCode="DE" term="%22Subdifferentials%22">Subdifferentials</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+functions%22">Mathematical functions</searchLink><br /><searchLink fieldCode="DE" term="%22Duality+theory+%28Mathematics%29%22">Duality theory (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Banach+spaces%22">Banach spaces</searchLink><br /><searchLink fieldCode="DE" term="%22Convex+programming%22">Convex programming</searchLink>
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  Data: Conditions allowing the interchange between the supremum and biconjugation in the bidual space are provided. We establish alternative characterizations which involve both approximate and exact subdifferential calculus rules for the supremum. The so-called concave-like setting, which covers the particular case of finite families, gives rise to simpler criteria. We give an application to the regularization problem in convex optimization. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Optimization Theory & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10957-025-02886-z
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        Text: English
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      – SubjectFull: Mathematical regularization
        Type: general
      – SubjectFull: Subdifferentials
        Type: general
      – SubjectFull: Mathematical functions
        Type: general
      – SubjectFull: Duality theory (Mathematics)
        Type: general
      – SubjectFull: Banach spaces
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      – SubjectFull: Convex programming
        Type: general
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      – TitleFull: On the Regularization of the Supremum Function in the Bidual Space.
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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