Differential Stability of Convex Optimization Problems with Possibly Empty Solution Sets

This paper studies differential stability of infinite-dimensional convex optimization problems, whose solution sets may be empty. By using suitable sum rules for ε -subdifferentials, we obtain exact formulas for computing the ε -subdifferential of the optimal value function. Several illustrative exa...

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Vydané v:Journal of optimization theory and applications Ročník 181; číslo 1; s. 126 - 143
Hlavní autori: An, Duong Thi Viet, Yao, Jen-Chih
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.04.2019
Springer Nature B.V
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ISSN:0022-3239, 1573-2878
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Abstract This paper studies differential stability of infinite-dimensional convex optimization problems, whose solution sets may be empty. By using suitable sum rules for ε -subdifferentials, we obtain exact formulas for computing the ε -subdifferential of the optimal value function. Several illustrative examples are also given.
AbstractList This paper studies differential stability of infinite-dimensional convex optimization problems, whose solution sets may be empty. By using suitable sum rules for ε -subdifferentials, we obtain exact formulas for computing the ε -subdifferential of the optimal value function. Several illustrative examples are also given.
This paper studies differential stability of infinite-dimensional convex optimization problems, whose solution sets may be empty. By using suitable sum rules for \[\varepsilon \]-subdifferentials, we obtain exact formulas for computing the \[\varepsilon \]-subdifferential of the optimal value function. Several illustrative examples are also given.
Author An, Duong Thi Viet
Yao, Jen-Chih
Author_xml – sequence: 1
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  surname: An
  fullname: An, Duong Thi Viet
  organization: Department of Mathematics and Informatics, Thai Nguyen University of Sciences
– sequence: 2
  givenname: Jen-Chih
  surname: Yao
  fullname: Yao, Jen-Chih
  email: yaojc@mail.cmu.edu.tw
  organization: Center for General Education, China Medical University
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10.1007/978-1-4612-1394-9
10.1007/s10957-016-0900-7
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10.1006/jfan.1993.1141
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Issue 1
Keywords 90C31
Optimal value function
Subdifferentials
49J53
90C25
Conjugate function
Parametric convex programming
49Q12
Normal directions
Language English
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Snippet This paper studies differential stability of infinite-dimensional convex optimization problems, whose solution sets may be empty. By using suitable sum rules...
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StartPage 126
SubjectTerms Applications of Mathematics
Calculus of Variations and Optimal Control; Optimization
Computational geometry
Convex analysis
Convexity
Dimensional stability
Engineering
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Sum rules
Theory of Computation
Title Differential Stability of Convex Optimization Problems with Possibly Empty Solution Sets
URI https://link.springer.com/article/10.1007/s10957-018-1431-1
https://www.proquest.com/docview/2132527095
Volume 181
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