02690nam 22005055 450 991090836490332120241119121039.0978365845705110.1007/978-3-658-45705-1(CKB)36619364400041(MiAaPQ)EBC31786560(Au-PeEL)EBL31786560(DE-He213)978-3-658-45705-1(EXLCZ)993661936440004120241119d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAlgorithmic Aspects of Discrete Choice in Convex Optimization /by David Müller1st ed. 2024.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Spektrum,2024.1 online resource (169 pages)Mathematische Optimierung und Wirtschaftsmathematik / Mathematical Optimization and Economathematics,2523-79349783658457044 Introduction -- Discrete Choice Models -- Discrete Choice Prox-Functions -- Consumption Cycle -- Network Manipulation -- Dynamic Pricing.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. About the author David Müller is a data scientist and former postdoc at the Chair of Business Mathematics at Chemnitz University of Technology. His research focuses on algorithmic and big data aspects of discrete choice models as well as machine learning and non-smooth optimisation.Mathematische Optimierung und Wirtschaftsmathematik / Mathematical Optimization and Economathematics,2523-7934Social sciencesMathematicsBusiness mathematicsMathematics in Business, Economics and FinanceBusiness MathematicsSocial sciencesMathematics.Business mathematics.Mathematics in Business, Economics and Finance.Business Mathematics.519Müller David1775845MiAaPQMiAaPQMiAaPQ9910908364903321Algorithmic Aspects of Discrete Choice in Convex Optimization4290991UNINA