A Successive Underestimation Method for Concave Minimization Problems
نویسندگان
چکیده
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. INFORMS is collaborating with JSTOR to digitize, preserve and extend access to Mathematics of Operations Research. A new method designed to globally minimize concave functions over linear polyhedra is described. Properties of the method are discussed, an example problem is solved, and computational considerations are discussed.
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عنوان ژورنال:
- Math. Oper. Res.
دوره 1 شماره
صفحات -
تاریخ انتشار 1976