Knihu momentálně nemáme skladem
Hodnocení knihy
Parametry
- 220 stránek
- 8 hodin čtení
Více o knize
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.
Nákup knihy
From Shortest Paths to Reinforcement Learning, Paolo Brandimarte
- Jazyk
- Rok vydání
- 2022
- product-detail.submit-box.info.binding
- (měkká)
Jakmile se objeví, pošleme e-mail.
Doručení
Platební metody
Tady nám chybí tvá recenze.
- Titul
- From Shortest Paths to Reinforcement Learning
- Podtitul
- A MATLAB-Based Tutorial on Dynamic Programming
- Jazyk
- anglicky
- Autoři
- Paolo Brandimarte
- Vydavatel
- Springer International Publishing
- Rok vydání
- 2022
- Vazba
- měkká
- Počet stran
- 220
- ISBN13
- 9783030618698
- Série
- Štítky
- Naučná literatura, Byznys, Byznys & Management, Technologie & Průmysl, Věda & Matematika, Matematika
- Hodnocení
- 5 z 5
- Anotace
- 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.