900 resultados para constraint solving
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Convex vector (or multi-objective) semi-infinite optimization deals with the simultaneous minimization of finitely many convex scalar functions subject to infinitely many convex constraints. This paper provides characterizations of the weakly efficient, efficient and properly efficient points in terms of cones involving the data and Karush–Kuhn–Tucker conditions. The latter characterizations rely on different local and global constraint qualifications. The results in this paper generalize those obtained by the same authors on linear vector semi-infinite optimization problems.
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Regulators and competition authorities often prevent firms with significant market power or dominant firms from practicing price discrimination. The goal of such an asymmetric no- discrimination constraint is to encourage entry and serve consumers’ interests. This constraint prohibits the firm with significant market power to practice both behaviour-based price discrimination within the competitive segment and third-degree price discrimination across the monopolistic and competitive segments. We find that this constraint hinders entry and reduces welfare when the monopolistic segment is small.
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Mode of access: Internet.
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"Created date: September 14, 2001"--P. [4] of cover.
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Ionospheric Physics Laboratory Project 8653.
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Transportation Department, Office of University Research, Washington, D.C.
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"UILU-ENG 78 1745."
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Includes bibliography.
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Includes bibliographical references.
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"COO-2383-0036."
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"COO-2383-0077"--P. 1 of cover.
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Vita.
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Bibliography: p. 16.
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"C00-2118-0026."
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Bibliography: p. 27.