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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Furthermore, as its applications, some optimality conditionsand duality results are established for a nondifferentiable vector optimization under the aforesaid mapsassumptions
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, a new class of semilocal E-preinvex and related maps in Banach spaces isintroduced for a nondifferentiable vector optimization problem with restrictions of inequalities andsome of its basic properties are studied.
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Key Findings & Data:In this paper, a new class of semilocal E-preinvex and related maps in Banach spaces isintroduced for a nondifferentiable vector optimization problem with restrictions of inequalities andsome of its basic properties are studied.
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Conclusion & Impact:Furthermore, as its applications, some optimality conditionsand duality results are established for a nondifferentiable vector optimization under the aforesaid mapsassumptions
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, a new class of semilocal E-preinvex and related maps in Banach spaces isintroduced for a nondifferentiable vector optimization problem with restrictions of inequalities andsome of its basic properties are studied. Furthermore, as its applications, some optimality conditionsand duality results are established for a nondifferentiable vector optimization under the aforesaid mapsassumptions
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Cite This Article
JİAO, H. (2022). A class of semilocal E-preinvex maps in Banach spaces with applications to nondifferentiable vector optimization. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 4 - Sayı: 1, 1–10. https://ajindex.com/articles/440725