Reformulation-linearization/convexification technique: a unified approach for discrete and continuous nonconvex optimization

Reformulation-linearization/convexification technique: a unified approach for discrete and continuous nonconvex optimization

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Article ID: iaor20073106
Country: Germany
Volume: 149
Issue: 1
Start Page Number: 185
End Page Number: 193
Publication Date: Feb 2007
Journal: Annals of Operations Research
Authors:
Keywords: history
Abstract:

This paper is one in a special issue of Annals of Operations Research devoted to the history of Integer Programming, written by pioneer researchers. The articles are semi-autobiographical. The special issue also serves as a tribute to the late Peter Hammer, editor-in-chief of Annals of OR.

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