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- 220pages
- 8 heures de lecture
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Focusing on the practical application of dynamic programming, this book bridges the gap between theoretical principles and software implementation using MATLAB. It offers a tutorial approach that introduces readers to the concepts and potential applications of DP, encouraging experimentation and hands-on experience. Aimed at practitioners and graduate students in various fields such as engineering, applied mathematics, management, finance, and economics, it requires only a basic understanding of probability and optimization.
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From Shortest Paths to Reinforcement Learning, Paolo Brandimarte
- Langue
- Année de publication
- 2021
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- (rigide)
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- Sous-titre
- A MATLAB-Based Tutorial on Dynamic Programming
- Langue
- Anglais
- Auteurs
- Paolo Brandimarte
- Publié
- 2021
- Format
- rigide
- Pages
- 220
- ISBN13
- 9783030618667
- Séries
- Mots clés
- Nonfiction, Commerce, Affaires & Gestion, Technologie & Ingénierie, Science et Mathématiques, Mathématiques
- Évaluation
- 5 sur 5
- Description
- Focusing on the practical application of dynamic programming, this book bridges the gap between theoretical principles and software implementation using MATLAB. It offers a tutorial approach that introduces readers to the concepts and potential applications of DP, encouraging experimentation and hands-on experience. Aimed at practitioners and graduate students in various fields such as engineering, applied mathematics, management, finance, and economics, it requires only a basic understanding of probability and optimization.