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Business, international

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Linear programming system identification

Article Abstract:

A variation of the inverse Linear Programming problem has been defined as Linear Programming System Identification. This problem seeks to identify both the objective function co-efficient vector and the constraint matrix of a linear programming problem that best fits a set of observed vector pairs. When the other vector is the resource vector of the problem, one vector of each pair is considered an approximately optimal decision vector and an algorithm was proposed for the approximating a maximum likelihood solution.

Author: Troutt, Marvin D., Tadisina, Suresh K., Changsoo Sohn, Brandyberry, Alan
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2005
Algorithms, Algorithm, Maximum likelihood estimates (Statistics)

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Fisheries development planning in Kuwait: an integer programming model

Article Abstract:

A framework for evaluating the long-term effects of fisheries policy decisions has been developed. The modelling system establishes the basic features of the sector to establish an integer programming model. This results in the generation of alternative policy cost estimates which takes into account the various constraints of production. The technique has been applied by Kuwait for the establishment of a comprehensive plan for its fisheries sector.

Author: Khorshid, Motaz
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1993
Economic policy, Industrial policy, Kuwait, Fishery management

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A piece-wise linear programming approach to the two-group discriminant problem - an adaptation of Fisher's linear discriminant function model

Article Abstract:

Efficacy of using linear and non-linear programming for disriminant analysis of multivariate statistics is discussed.

Author: Lam, Kim Fung, Moy, Jane W.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2003
Hong Kong, Multivariate analysis, Factor analysis, Discriminant analysis

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Subjects list: Methods, Linear programming, Usage
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