Mathematical programming with Semilocally Subconvex functions over cones

In this paper, we introduce another generalization of semilocally convex functions over cones, called conesemilocallysubconvex function (C-slsb), and compare it with other generalizations of convex functions through examples.Further, using its properties we establish a theorem of the alternatives for these functions. Then we investigate the optimalsolutions of the mathematical programming problem (MP) over cones using these functions, directional derivatives, andthe alternative theorem. Investigation of optimal solutions of (MP) is done by deriving optimality and duality results forsemilocally subconvex mathematical programming problems over cones (MP).

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2025-08-13
DOI
https://doi.org/10.19139/soic-2310-5070-2502
Citations
1
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
2.63
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article

Mathematical programming with Semilocally Subconvex functions over cones

Mamta Chaudhary, Vani Sharma, Meetu Bhatia Grover
1 citations
Statistics Optimization & Information Computing
Advanced Optimization Algorithms Research
2.63
article

Mathematical programming with Semilocally Subconvex functions over cones

Mamta Chaudhary, Vani Sharma, Meetu Bhatia Grover
article en
1 citations

Abstract

In this paper, we introduce another generalization of semilocally convex functions over cones, called conesemilocallysubconvex function (C-slsb), and compare it with other generalizations of convex functions through examples.Further, using its properties we establish a theorem of the alternatives for these functions. Then we investigate the optimalsolutions of the mathematical programming problem (MP) over cones using these functions, directional derivatives, andthe alternative theorem. Investigation of optimal solutions of (MP) is done by deriving optimality and duality results forsemilocally subconvex mathematical programming problems over cones (MP).

Statistics Optimization & Information ComputingVol. 14(3)
University of Delhi (IN)
Openalex Percentile: Top 10%
Advanced Optimization Algorithms Research
2.63
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