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Algorithmic Aspects of Discrete Choice in Convex Optimization (Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics) - Softcover
Synopsis
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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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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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Algorithmic Aspects of Discrete Choice in Convex Optimization (Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics)
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Algorithmic Aspects of Discrete Choice in Convex Optimization (eng)
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Algorithmic Aspects of Discrete Choice in Convex Optimization
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Paperback. Condition: New. 2024 ed. 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. Seller Inventory # LU-9783658457044
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Algorithmic Aspects of Discrete Choice in Convex Optimization
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch. Seller Inventory # 9783658457044
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783658457044
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