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.

Autorentext

Univ.-Prof. Dr. rer. pol. habil. David Müller ist seit 2015 Professor für Rechnungswesen und Controlling an der Brandenburgischen Technischen Universität Cottbus-Senftenberg. Seine Arbeitsschwerpunkte sind Planung und Steuerung von Investitionen, Kostenmodellierung in der Produktentwicklung sowie die kooperative Spieltheorie.

Inhalt

Introduction.- Discrete Choice Models.- Discrete Choice Prox-Functions.- Consumption Cycle.- Network Manipulation.- Dynamic Pricing.