Journal article
Differentiable McCormick relaxations
Abstract
McCormick’s classical relaxation technique constructs closed-form convex and concave relaxations of compositions of simple intrinsic functions. These relaxations have several properties which make them useful for lower bounding problems in global optimization: they can be evaluated automatically, accurately, and computationally inexpensively, and they converge rapidly to the relaxed function as the underlying domain is reduced in size. They may …
Authors
Khan KA; Watson HAJ; Barton PI
Journal
Journal of Global Optimization, Vol. 67, No. 4, pp. 687–729
Publisher
Springer Nature
Publication Date
April 2017
DOI
10.1007/s10898-016-0440-6
ISSN
0925-5001