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From Shortest Paths to Reinforcement Learning - A MATLAB-Based Tutorial on Dynamic Programming (Hardcover, 1st ed. 2021) Loot Price: R2,864
Discovery Miles 28 640
Repayment Terms: R268 pm x 12*
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From Shortest Paths to Reinforcement Learning - A MATLAB-Based Tutorial on Dynamic Programming (Hardcover, 1st ed. 2021): Paolo...

From Shortest Paths to Reinforcement Learning - A MATLAB-Based Tutorial on Dynamic Programming (Hardcover, 1st ed. 2021)

Paolo Brandimarte

Series: EURO Advanced Tutorials on Operational Research

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Loot Price R2,864 Discovery Miles 28 640 | Repayment Terms: R268 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: EURO Advanced Tutorials on Operational Research
Release date: 2021
First published: 2021
Authors: Paolo Brandimarte
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 207
Edition: 1st ed. 2021
ISBN-13: 978-3-03-061866-7
Categories: Books > Business & Economics > Economics > Economic theory & philosophy
Books > Business & Economics > Finance & accounting > General
Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Business & Economics > Business & management > Management & management techniques > Operational research
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LSN: 3-03-061866-8
Barcode: 9783030618667

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