From Shortest Paths to Reinforcement Learning / EURO Advanced Tutorials on Operational Research (PDF)
A MATLAB-Based Tutorial on Dynamic Programming
(Sprache: Englisch)
Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software...
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Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.
Autoren-Porträt von Paolo Brandimarte
Paolo Brandimarte is full professor at the Department of Mathematical Sciences of Politecnico di Torino, Italy, where he teaches courses on Business Analytics, Risk Management, and Operations Research. He is the author of more than ten books on the application of optimization and simulation methods to problems ranging from quantitative finance to production and supply chain management.
Bibliographische Angaben
- Autor: Paolo Brandimarte
- 2021, 1st ed. 2021, 207 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030618676
- ISBN-13: 9783030618674
- Erscheinungsdatum: 11.01.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.67 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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