Abstract
Semi-infinite programs are constrained optimization problems in which the number of decision variables is finite, but the number of constraints is infinite. In this chapter, we treat a class semi-infinite programming problems in which the constraints are indexed by a compact set. We will demonstrate the usefulness of such problems by casting several important optimization problems in this form and then using semi-infinite programming techniques to solve them. Historically, Fritz John [148] initiated semi-infinite programming precisely to deduce important results about two such geometric problems: the problems of covering a compact body in \( \mathbb{R}^n \) by the minimum-volume disk and the minimum-volume ellipsoid. In the same landmark paper, he derived what are now called Fritz John optimality conditions for this class of semi-infinite programs.
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© 2010 Springer New York
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Güler, O. (2010). Semi-infinite Programming. In: Foundations of Optimization. Graduate Texts in Mathematics, vol 258. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68407-9_12
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DOI: https://doi.org/10.1007/978-0-387-68407-9_12
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-34431-7
Online ISBN: 978-0-387-68407-9
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