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• W2078476919 startingPage "31" @default.
• W2078476919 abstract "Although parametric optimization with uncertainties on the objective function (OF) or on the so-called “right-hand-side” (RHS) of the constraints has been addressed successfully in recent papers, very little work exists on the same with uncertainties on the left-hand-side (LHS) of the constraints or in the coefficients of the constraint matrix. The goal of this work has been to develop a systematic method to solve such parametric optimization problems. This is a very complex problem and we have begun with the simplest of optimization problems, namely the linear programming problem with a single parameter on the LHS. This study reviews the available work on parametric optimization, describes the challenges and issues specific to LHS parametric linear programming (LHS-pLP), and presents a solution algorithm using some classic results from matrix algebra." @default.
• W2078476919 created "2016-06-24" @default.
• W2078476919 creator A5045849005 @default.
• W2078476919 creator A5070044239 @default.
• W2078476919 date "2014-01-01" @default.
• W2078476919 modified "2023-10-01" @default.
• W2078476919 title "Parametric optimization with uncertainty on the left hand side of linear programs" @default.
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• W2078476919 doi "https://doi.org/10.1016/j.compchemeng.2013.08.005" @default.
• W2078476919 hasPublicationYear "2014" @default.
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