Second-Order Set-Valued Directional Derivatives of the Marginal Map in Parametric Vector Optimization Problems.

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Title: Second-Order Set-Valued Directional Derivatives of the Marginal Map in Parametric Vector Optimization Problems.
Authors: Bao, Nguyen Xuan Duy1,2 (AUTHOR) nxdbao@hcmut.edu.vn, Khanh, Phan Quoc3 (AUTHOR) phanquockhanh@tdtu.edu.vn, Tung, Nguyen Minh4 (AUTHOR) tungnm@hub.edu.vn
Source: Journal of Optimization Theory & Applications. Mar2025, Vol. 204 Issue 3, p1-20. 20p.
Subjects: Multi-objective optimization, Directional derivatives, Mathematical mappings, Computational mathematics, Mathematical optimization, Set-valued maps
Abstract: We study second-order differential sensitivity in parametrized vector optimization problems with inclusion constraints. First, we consider a set-valued unconstrained problem and establish a sufficient condition for the second-order directional Dini derivative of the marginal map to be equal to the minimum of that of the objective map. We then extend our research to vector optimization problems with general inclusion constraints and demonstrate that the first- and second-order directional Dini derivatives of the objective image map are equal to the union of those of the objective map. Using advanced proof techniques, we derive a formula for the second-order directional Dini derivative of the marginal map and prove the second-order semi-derivability of the feasible objective and marginal/efficient-value maps. Examples are provided to illustrate the novelty and depth of our results. [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: Second-Order Set-Valued Directional Derivatives of the Marginal Map in Parametric Vector Optimization Problems.
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  Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Directional+derivatives%22">Directional derivatives</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+mappings%22">Mathematical mappings</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+mathematics%22">Computational mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Set-valued+maps%22">Set-valued maps</searchLink>
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  Label: Abstract
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  Data: We study second-order differential sensitivity in parametrized vector optimization problems with inclusion constraints. First, we consider a set-valued unconstrained problem and establish a sufficient condition for the second-order directional Dini derivative of the marginal map to be equal to the minimum of that of the objective map. We then extend our research to vector optimization problems with general inclusion constraints and demonstrate that the first- and second-order directional Dini derivatives of the objective image map are equal to the union of those of the objective map. Using advanced proof techniques, we derive a formula for the second-order directional Dini derivative of the marginal map and prove the second-order semi-derivability of the feasible objective and marginal/efficient-value maps. Examples are provided to illustrate the novelty and depth of our results. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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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      – Type: doi
        Value: 10.1007/s10957-025-02606-7
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      – Code: eng
        Text: English
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        PageCount: 20
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      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Directional derivatives
        Type: general
      – SubjectFull: Mathematical mappings
        Type: general
      – SubjectFull: Computational mathematics
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Set-valued maps
        Type: general
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      – TitleFull: Second-Order Set-Valued Directional Derivatives of the Marginal Map in Parametric Vector Optimization Problems.
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            NameFull: Bao, Nguyen Xuan Duy
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            NameFull: Khanh, Phan Quoc
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            NameFull: Tung, Nguyen Minh
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            – D: 01
              M: 03
              Text: Mar2025
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              Y: 2025
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