From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming - Paolo Brandimarte
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Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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 act ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Paolo Brandimarte |
|---|---|
| Julkaisija | Springer Nature Switzerland |
| Series | EURO Advanced Tutorials on Operational Research |
| Julkaisuvuosi | 2021 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783030618667 |