Electronic Resource

Analyzing changes in optimal variables in linear programming with uncertain parameters

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Analyzing changes in optimal variables in linear programming with uncertain parameters
Συγγραφείς: Istace, Baptiste, Derval, Guillaume, Miftari, Bardhyl, Louveaux, Quentin
Έτος έκδοσης: 2026
Θεματικοί όροι: Sensitivity analysis, Linear programming, Parametric programming, Optimization under uncertainty, Set-valued mapping, Physical, chemical, mathematical & earth Sciences, Mathematics, Engineering, computing & technology, Computer science, Physique, chimie, mathématiques & sciences de la terre, Mathématiques, Ingénierie, informatique & technologie, Sciences informatiques
Περιγραφή: Linear problems often include many parameters that may be uncertain. Sensitivity analysis studies how these parameters impact optimal values. Instead of analyzing the objective function, we shift the focus to the optimal values of the variables. Three types of linear modifications are considered: on the cost vector, the right-hand side, and on the constraint matrix. Several theorems establish properties of these modifications, including conditions for continuity of optimal variable values, as well as local convexity and concavity properties.
Τύπος εγγράφου: working paper
http://purl.org/coar/resource_type/c_8042
preprint
Γλώσσα: English
Σύνδεσμος πρόσβασης: https://orbi.uliege.be/handle/2268/345151
Rights: open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Αριθμός Καταχώρησης: edsorb.345151
Βάση Δεδομένων: ORBi
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