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- 220pages
- 8 heures de lecture
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Focusing on dynamic programming (DP), this book addresses its practical applications and implementation, countering its reputation for being computationally impractical. Utilizing MATLAB, it provides a hands-on tutorial that helps readers understand DP principles while encouraging experimentation. Aimed at practitioners and graduate students, it requires a basic understanding of probability and optimization, making it suitable for fields such as engineering, applied mathematics, management, finance, and economics.
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From Shortest Paths to Reinforcement Learning, Paolo Brandimarte
- Langue
- Année de publication
- 2022
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- (souple)
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- Sous-titre
- A MATLAB-Based Tutorial on Dynamic Programming
- Langue
- Anglais
- Auteurs
- Paolo Brandimarte
- Publié
- 2022
- Format
- souple
- Pages
- 220
- ISBN13
- 9783030618698
- Séries
- Mots clés
- Nonfiction, Commerce, Affaires & Gestion, Technologie & Ingénierie, Science et Mathématiques, Mathématiques
- Évaluation
- 5 sur 5
- Description
- Focusing on dynamic programming (DP), this book addresses its practical applications and implementation, countering its reputation for being computationally impractical. Utilizing MATLAB, it provides a hands-on tutorial that helps readers understand DP principles while encouraging experimentation. Aimed at practitioners and graduate students, it requires a basic understanding of probability and optimization, making it suitable for fields such as engineering, applied mathematics, management, finance, and economics.