Algorithmic Aspects of Discrete Choice in Convex Optimization
Series: Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics;
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Product details:
- Edition number 2024
- Publisher Springer Spektrum
- Date of Publication 19 November 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783658457044
- Binding Paperback
- No. of pages162 pages
- Size 210x148 mm
- Language English
- Illustrations 1 Illustrations, black & white; 5 Illustrations, color 664
Categories
Short description:
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.
MoreLong description:
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.
MoreTable of Contents:
Introduction.- Discrete Choice Models.- Discrete Choice Prox-Functions.- Consumption Cycle.- Network Manipulation.- Dynamic Pricing.
More
