Duality and optimality for quasidifferentiable interval-valued problems

In this article, we explore the concept of interval-valued nonsmooth optimization problems using r-invexity in relation to convex compact sets. For the selected nonsmooth interval-valued problem (IP), we derive necessary and sufficient optimality criteria. In addition to that, we establish various duality theorems under r-invex quasidifferentiable with respect to a convex compact set that is equal to the Minkowski sum of their subdifferentials and superdifferentials. We draft a numerical example to support the results obtained in this paper. It is important to note that the Lagrange multipliers are nonconstant for the considered problem.

Authors

Institutions

Publication Details

Journal
Yugoslav journal of operations research
Published
2025-01-01
DOI
https://doi.org/10.2298/yjor241015035k
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Duality and optimality for quasidifferentiable interval-valued problems

Ashish Kumar Prasad, I. Ahmad, Julie Khatri
Yugoslav journal of operations research
Optimization and Variational Analysis
article

Duality and optimality for quasidifferentiable interval-valued problems

Ashish Kumar Prasad, I. Ahmad, Julie Khatri
article en

Abstract

In this article, we explore the concept of interval-valued nonsmooth optimization problems using r-invexity in relation to convex compact sets. For the selected nonsmooth interval-valued problem (IP), we derive necessary and sufficient optimality criteria. In addition to that, we establish various duality theorems under r-invex quasidifferentiable with respect to a convex compact set that is equal to the Minkowski sum of their subdifferentials and superdifferentials. We draft a numerical example to support the results obtained in this paper. It is important to note that the Lagrange multipliers are nonconstant for the considered problem.

Yugoslav journal of operations research(00)
King Fahd University of Petroleum and Minerals (SA), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 67%
Optimization and Variational Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.