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• W2053065038 abstract "This paper develops an alternative approach to postoptimality analysis for general linear programming (LP) problems that provides a simple framework for the analysis of any single or simultaneous change of right-hand side (RHS) or cost coefficient terms for which the current basis remains optimal by solving the nominal LP problem with perturbed RHS terms. Postoptimality analysis of a row or column of the matrix coefficients is also discussed. The goal is a theoretical unification, as well as an advancement in the practical implementation of postoptimality analysis. Some common applications, such as ordinary sensitivity, the 100% rule, and parametric analysis, as well as extensions of recent developments such as tolerance analysis and the more-for-less paradox, are discussed in the context of numerical examples." @default.
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• W2053065038 date "1990-01-01" @default.
• W2053065038 modified "2023-09-27" @default.
• W2053065038 title "Perturbation analysis of general LP models: A unified approach to sensitivity, parametric, tolerance, and more-for-less analysis" @default.
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• W2053065038 doi "https://doi.org/10.1016/0895-7177(90)90073-v" @default.
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