Title
Stability in Linear Programming Models: An Index Set Approach
Abstract
Arbitrary perturbations of arbitrary coefficients in linear programming models on the canonical form are studied. Perturbations that preserve stability (lower semi-continuity of the feasible set mapping) are characterized in terms of subsets of the index set of the decision variable. A necessary condition for stability is used to formulate a method for identification of unstable perturbations. Instability is illustrated in various situations including multi-level decision making, descriptions of locally and globally optimal parameters in linear parametric programming, and a marginal value formula for models with a convex objective and linear canonical constraints.
Year
DOI
Venue
2001
10.1023/A:1010917903065
Annals OR
Keywords
Field
DocType
linear programming model,stability,multi-level program,von Stackelberg game,optimal parameter
Linear-fractional programming,Mathematical optimization,Active set method,Parametric programming,Index set,Regular polygon,Canonical form,Feasible region,Linear programming,Mathematics
Journal
Volume
Issue
ISSN
101
1-4
1572-9338
Citations 
PageRank 
References 
2
0.43
4
Authors
1
Name
Order
Citations
PageRank
Sanjo Zlobec15414.44