Semi-infinite programming

By Marco A. López, Georg J. Still. European Journal of Operational Research, 2007

496 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Optimality conditions for non-smooth semi-infinite programming (2010, methodology): “We refer the reader to the recent paper by López and Still [13] which gives an up-to-date survey on semi-infinite programming problems with a list of 100 references.”
A tractable approximation of non-convex chance constrained optimization with non-Gaussian uncertainties (2015, methodology): “Since the robust optimization approach (Ben-Tal and Nemirovski 1998, 1999) attempts to satisfy constraints under almost all possible realizations of the uncertainties, generally it may lead to a semi-infinite optimization problem (López and Still 2007).”
Semi-infinite programming, duality, discretization and optimality conditions (2009, result): “Some of the surveyed results are well known while others seem to be less noticed in that area of research.”
Distributionally Robust Optimization: A Review (2019, methodology): “For reviews of the theory and methods for SIPs, we refer the readers to Hettich and Kortanek [145], Reemtsen and Görner [255], López and Still [194].”
Generalized semi-infinite programming: A tutorial (2008, methodology): “For SIP such a result holds under weak assumptions if d is obtained as solution of the linear SIP (see [62]): min d,z z s.”