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Business, international

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A barrier method for dynamic Leontief-type linear programs

Article Abstract:

The projected Newton barrier method is more effective in solving large-scale dynamic Leontief-type linear programs than the sparse simplex method. A special structure of the constraints matrix is used to reduce the matrix of the normal equation for the least-squares problem to a banded matrix in this barrier method. A comparative study of these two approaches shows the former to be faster than the simplex method for such types of linear programs.

Author: Yang, Eugene K., Wei-Shi Hwang
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1992

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Carbon sequestration and land management under uncertainty

Article Abstract:

Issues relating to the role of land-use change and forestry in easing the problem of global warming are investigated. The study uses a possibilistic linear programming model of agricultural and forest land management with the aim of maximising the cumulative net discounted returns.

Author: Vertinsky, Ilan, Krcmar, Emina, Stennes, Brad, Kooten, G. Cornelis van
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2001
Management, Measurement, Observations, Carbon, Climatology, Land use

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Bankruptcy prediction using a data envelopment analysis

Article Abstract:

The classification performance of a linear programming (LP) model, a data envelopment (DEA) model and a rule induction (C5.0) model are compared. Results indicate that the DEA model performs better than the other models in terms of accuracy and employment.

Author: Vanhoof, Koen, Cielen, Anja, Peeters, Ludo
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2004
Employment, Administration of General Economic Programs, Jobs & Employment, Analysis, Usage, Data envelopment analysis

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Subjects list: Models, Linear programming
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