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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.
Zakup książki
From Shortest Paths to Reinforcement Learning, Paolo Brandimarte
- Język
- Rok wydania
- 2022
- Oprawa
- (miękka)
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- Tytuł
- From Shortest Paths to Reinforcement Learning
- Podtytuł
- A MATLAB-Based Tutorial on Dynamic Programming
- Język
- angielski
- Autorzy
- Paolo Brandimarte
- Rok wydania
- 2022
- Oprawa
- miękka
- Liczba stron
- 220
- ISBN13
- 9783030618698
- Seria
- Kategorie
- Tagi
- Biznes
- Ocena
- 5 z 5
- Opis
- 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.
