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Algorithmic Aspects of Discrete Choice in Convex Optimization

David Müller

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ca. 64,19

Springer Fachmedien Wiesbaden img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges

Beschreibung

This book develops a framework to analyze algorithmic aspects of discrete choice models in convex optimization. The central aspect is to derive new prox-functions from discrete choice surplus functions, which are then incorporated into convex optimization schemes. The book provides further economic applications of discrete choice prox-functions within the context of convex optimization such as network manipulation based on alternating minimization and dynamic pricing for online marketplaces.

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Schlagwörter

Discrete Choice, Optimization, Dynamic Pricing, Strong Convexity, Strong Smoothness, Consumption Cycle