Generalized Hukuhara Hadamard derivative of interval-valued functions and its applications to interval optimization

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dc.contributor.author Chauhan, Ram Surat
dc.contributor.author Ghosh, Debdas
dc.contributor.author Ansari, Qamrul Hasan
dc.date.accessioned 2024-02-08T11:49:10Z
dc.date.available 2024-02-08T11:49:10Z
dc.date.issued 2023-12-16
dc.identifier.issn 14327643
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2851
dc.description This paper published with affiliation IIT (BHU), Varanasi in Open Access Mode. en_US
dc.description.abstract In this article, we study the notion of gH-Hadamard derivative for interval-valued functions (IVFs) and apply it to solve interval optimization problems (IOPs). It is shown that the existence of gH-Hadamard derivative implies the existence of gH-Fréchet derivative and vise-versa. Further, it is proved that the existence of gH-Hadamard derivative implies the existence of gH-continuity of IVFs. We found that the composition of a Hadamard differentiable real-valued function and a gH-Hadamard differentiable IVF is gH-Hadamard differentiable. Further, for finite comparable IVF, we prove that the gH-Hadamard derivative of the maximum of all finite comparable IVFs is the maximum of their gH-Hadamard derivative. The proposed derivative is observed to be useful to check the convexity of an IVF and to characterize efficient points of an optimization problem with IVF. For a convex IVF, we prove that if at a point the gH-Hadamard derivative does not dominate to zero, then the point is an efficient point. Further, it is proved that at an efficient point, the gH-Hadamard derivative does not dominate zero and also contains zero. For constraint IOPs, we prove an extended Karush–Kuhn–Tucker condition using the proposed derivative. The entire study is supported by suitable examples. en_US
dc.description.sponsorship Debdas Ghosh acknowledges the financial support from the research project MATRICS (MTR/2021/000696) and Core Research Grant (CRG/2022/001347) from Science and Engineering Research Board, India. en_US
dc.language.iso en en_US
dc.publisher Springer Science and Business Media en_US
dc.relation.ispartofseries Soft Computing;
dc.subject Efficient solutions en_US
dc.subject gH-Fréchet derivative en_US
dc.subject Interval optimization problems en_US
dc.subject Interval-valued functions en_US
dc.title Generalized Hukuhara Hadamard derivative of interval-valued functions and its applications to interval optimization en_US
dc.type Article en_US


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