Title
Two Optimal Value Functions in Parametric Conic Linear Programming
Abstract
We consider the conic linear program given by a closed convex cone in an Euclidean space and a matrix, where vector on the right-hand side of the inequality constraint and the vector defining the objective function are subject to change. Using the strict feasibility condition, we prove the locally Lipschitz continuity and obtain some differentiability properties of the optimal value function of the problem under right-hand-side perturbations. For the optimal value function under linear perturbations of the objective function, similar differentiability properties are obtained under the assumption saying that both primal problem and dual problem are strictly feasible.
Year
DOI
Venue
2022
10.1007/s10957-021-01959-z
Journal of Optimization Theory and Applications
Keywords
DocType
Volume
Conic linear programming, Primal problem, Dual problem, Optimal value function, Lipschitz continuity, Differentiability properties, Increment estimates, 49K40, 90C31, 90C25, 90C30
Journal
193
Issue
ISSN
Citations 
1
0022-3239
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Nguyen Ngoc Luan100.34
Do Sang Kim210016.78
N. D. Yen310417.57