The power of linear programming: some surprising and unexpected LPs

被引:0
|
作者
Bruce Golden
Linus Schrage
Douglas Shier
Lida Anna Apergi
机构
[1] University of Maryland,Smith School of Business
[2] The University of Chicago,Booth School of Business
[3] Clemson University,School of Mathematical and Statistical Sciences
来源
4OR | 2021年 / 19卷
关键词
Linear programming; Curve fitting; Goal programming; Discriminant analysis; AHP; Game theory; DEA; 90C05;
D O I
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学科分类号
摘要
Linear programming has had a tremendous impact in the modeling and solution of a great diversity of applied problems, especially in the efficient allocation of resources. As a result, this methodology forms the backbone of introductory courses in operations research. What students, and others, may not appreciate is that linear programming transcends its linear nomenclature and can be applied to an even wider range of important practical problems. The objective of this article is to present a selection, and just a selection, from this range of problems that at first blush do not seem amenable to linear programming formulation. The exposition focuses on the most basic models in these selected applications, with pointers to more elaborate formulations and extensions. Thus, our intent is to expand the modeling awareness of those first encountering linear programming. In addition, we hope this article will be of interest to those who teach linear programming and to seasoned academics and practitioners, alike.
引用
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页码:15 / 40
页数:25
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