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- 220 pages
- 8 hours of reading
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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
- Language
- Released
- 2021
- product-detail.submit-box.info.binding
- (Hardcover)
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- Subtitle
- A MATLAB-Based Tutorial on Dynamic Programming
- Language
- English
- Authors
- Paolo Brandimarte
- Publisher
- Springer International Publishing
- Released
- 2021
- Format
- Hardcover
- Pages
- 220
- ISBN13
- 9783030618667
- Series
- Tags
- Non-Fiction, Business, Business & Management, Technology & Engineering, Science & Math, Mathematics
- Rating
- 5 out of 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.