DocumentCode
2345214
Title
Inverse Linear Program by Modifying the Right-Hand Side Vector under l1 Norm
Author
Liu, Liping ; Guan, Xiucui
Author_Institution
Sch. of Constr., Jiangsu Changzhou Higher Vocational, Changzhou, China
fYear
2011
fDate
15-19 April 2011
Firstpage
471
Lastpage
475
Abstract
Inverse linear programming problem (ILPb) by modifying the right-hand vector is discussed in the paper. A mathematical model of (ILPb), which is an MPEC problem, is constructed based on duality theories, and then a necessary and sufficient condition of checking the feasibility of (ILPb) is provided. The inverse problem under l1 norm is transformed into a problem under weighted sum-type Hamming distance with linear equality and inequality constraints. An optimal solution in the special case is also given when the dual constraint conditions are all equalities and the coefficient matrix is invertible. In this case, the system of linear equations has the only solution.
Keywords
duality (mathematics); inverse problems; linear programming; MPEC problem; duality theories; inverse linear programming problem; l1 norm; right-hand side vector modification; weighted sum-type Hamming distance; Equations; Hamming distance; Inverse problems; Linear programming; Mathematical model; Optimization; Vectors; $l$1 norm; Hamming distance; duality theory; inverse linear programming; right-hand side vector;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location
Yunnan
Print_ISBN
978-1-4244-9712-6
Electronic_ISBN
978-0-7695-4335-2
Type
conf
DOI
10.1109/CSO.2011.157
Filename
5957705
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