LEADER 02690nam 22005055 450 001 9910908364903321 005 20241119121039.0 010 $a9783658457051 024 7 $a10.1007/978-3-658-45705-1 035 $a(CKB)36619364400041 035 $a(MiAaPQ)EBC31786560 035 $a(Au-PeEL)EBL31786560 035 $a(DE-He213)978-3-658-45705-1 035 $a(EXLCZ)9936619364400041 100 $a20241119d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithmic Aspects of Discrete Choice in Convex Optimization /$fby David Müller 205 $a1st ed. 2024. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Spektrum,$d2024. 215 $a1 online resource (169 pages) 225 1 $aMathematische Optimierung und Wirtschaftsmathematik / Mathematical Optimization and Economathematics,$x2523-7934 311 08$a9783658457044 327 $aIntroduction -- Discrete Choice Models -- Discrete Choice Prox-Functions -- Consumption Cycle -- Network Manipulation -- Dynamic Pricing. 330 $aThis book develops a framework to analyze algorithmic aspects of discrete choice models in convex optimization. The central aspect is to derive new prox-functions from discrete choice surplus functions, which are then incorporated into convex optimization schemes. The book provides further economic applications of discrete choice prox-functions within the context of convex optimization such as network manipulation based on alternating minimization and dynamic pricing for online marketplaces. About the author David Müller is a data scientist and former postdoc at the Chair of Business Mathematics at Chemnitz University of Technology. His research focuses on algorithmic and big data aspects of discrete choice models as well as machine learning and non-smooth optimisation. 410 0$aMathematische Optimierung und Wirtschaftsmathematik / Mathematical Optimization and Economathematics,$x2523-7934 606 $aSocial sciences$xMathematics 606 $aBusiness mathematics 606 $aMathematics in Business, Economics and Finance 606 $aBusiness Mathematics 615 0$aSocial sciences$xMathematics. 615 0$aBusiness mathematics. 615 14$aMathematics in Business, Economics and Finance. 615 24$aBusiness Mathematics. 676 $a519 700 $aMüller$b David$01775845 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910908364903321 996 $aAlgorithmic Aspects of Discrete Choice in Convex Optimization$94290991 997 $aUNINA