Výsledky vyhledávání - "non-differentiable programming."

Akademický článek

A class of new type unified non-differentiable higher order symmetric duality theorems over arbitrary cones under generalized assumptions

Autor: Dubey Ramu, Kumar Rajnish, Alam Khursheed, Narayan Mishra Lakshmi, Narayan Mishra Vishnu

Publikováno v: Yugoslav Journal of Operations Research, Vol 32, Iss 2, Pp 189-202 (2022)

In the present paper, a newly combined higher-order non-differentiable symmetric duality in scalar-objective programming over arbitrary cones is formulated. In literature we have discussed primal-dual results with arbitrary cones, while in this artic

Externí odkaz: https://doaj.org/article/32f6c1b12cd246a5a3169055bd8a2892

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Akademický článek

Duality for a class of second order symmetric nondifferentiable fractional variational problems

Autor: Prasad Ashish Kumar, Singh Anant Pratap, Khatri Sony

Publikováno v: Yugoslav Journal of Operations Research, Vol 30, Iss 2, Pp 121-136 (2020)

The present work frames a pair of symmetric dual problems for second order nondifferentiable fractional variational problems over cone constraints with the help of support functions. Weak, strong and converse duality theorems are derived under second

Externí odkaz: https://doaj.org/article/6ac9df5173744cea994edd305291c3d5

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Akademický článek

Second order nondifferentiable minimax fractional programming with square root terms

Autor: Ahmad, I.

Publikováno v: Filomat, 2013 Jan 01. 27(1), 135-142.

Externí odkaz: https://www.jstor.org/stable/24896340

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Duality for a class of second order symmetric nondifferentiable fractional variational problems

Autor: Anant Singh Pratap, Ashish Kumar, Sony Khatri

Publikováno v: Yugoslav Journal of Operations Research, Vol 30, Iss 2, Pp 121-136 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::740921fdc8a4b63fc46f9845ce2d2ef3
https://doi.org/10.2298/yjor190215004p

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Akademický článek

Non-differentiable second-order mixed symmetric duality with cone constraints

Autor: Shiv Kumar Gupta

Publikováno v: Maejo International Journal of Science and Technology, Vol 6, Iss 03, Pp 356-371 (2012)

A pair of mixed non-differentiable second-order symmetric dual programmesover cones is considered. Weak, strong and converse duality theorems are establishedunder second-order (F, ) convexity/pseudo-convexity assumptions. Special cases arealso dis

Externí odkaz: https://doaj.org/article/b5e7e1e0ce5647f084a851db1fbf5b78

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Generalized derivatives of the optimal value of a linear program with respect to matrix coefficients

Autor: Yves Smeers, Daniel De Wolf

Publikováno v: European Journal of Operational Research
European Journal of Operational Research, Elsevier, 2019, European Journal of Operational Research, 291 (2), pp.Pages 491-496. ⟨10.1016/j.ejor.2019.11.020⟩
European Journal of Operational Research, Vol. 2, no. 291, p. 491-496 (2021)
European Journal of Operational Research, Elsevier, 2021, 291, pp.491-496. ⟨10.1016/j.ejor.2019.11.020⟩
European Journal of Operational Research, (2019)
European Journal of Operational Research, 2021, 291 (2), pp.491-496. ⟨10.1016/j.ejor.2019.11.020⟩
European Journal of Operational Research, 2019, 291 (2), pp.491-496. ⟨10.1016/j.ejor.2019.11.020⟩
European Journal of Operational Research, Elsevier, 2019, ⟨10.1016/j.ejor.2019.11.020⟩

International audience; We present here a characterization of the Clarke subdifferential of the optimal value function of a linear program as a function of matrix coefficients. We generalize the result of Freund (1985) to the cases where derivatives

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172157c0e6a0332e324fae7f873b3488
https://halshs.archives-ouvertes.fr/halshs-02396708

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