Undergraduate convexity: from Fourier and Motzkin to Kuhn and Tucker

Based on undergraduate teaching to students in computer science, economics and mathematics at Aarhus University, this is an elementary introduction to convex sets and convex functions with emphasis on concrete computations and examples. Starting from linear inequalities and Fourier-Motzkin eliminati...

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Bibliographische Detailangaben
1. Verfasser: Lauritzen, Niels 1964- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Singapore World Scientific Pub. Co. c2013
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Online-Zugang:FHN01
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Zusammenfassung:Based on undergraduate teaching to students in computer science, economics and mathematics at Aarhus University, this is an elementary introduction to convex sets and convex functions with emphasis on concrete computations and examples. Starting from linear inequalities and Fourier-Motzkin elimination, the theory is developed by introducing polyhedra, the double description method and the simplex algorithm, closed convex subsets, convex functions of one and several variables ending with a chapter on convex optimization with the Karush-Kuhn-Tucker conditions, duality and an interior point algorithm
Beschreibung:xiv, 283 p. ill., ports
ISBN:9789814412520

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