Linear Programming
Mahmut Parlar
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Mahmut Parlar: McMaster University, DeGroote School of Business
Chapter 4 in Interactive Operations Research with Maple, 2000, pp 99-151 from Springer
Abstract:
Abstract Linear programming (LP) is a flexible and powerful optimization technique that is used to determine the nonnegative values of n decision variables xj, which satisfy m linear constraints $$\begin{array}{*{20}{c}} {\sum\limits_{j = 1}^n {{a_{ij}}{x_j}\{ \leqslant , = \geqslant \} {b_i},} }&{i = 1,2, \ldots ,m} \end{array}$$ and maximize (or minimize) a linear objective function $$z = \sum\limits_{j = 1}^n {{c_j}{x_j}}$$ where the parameters a ij , b i; and c j are given constants.
Keywords: Decision Variable; Linear Programming Problem; Feasible Region; Basic Variable; Simplex Method (search for similar items in EconPapers)
Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-1356-7_4
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DOI: 10.1007/978-1-4612-1356-7_4
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