• Title Dynamic Programming and Bayesian Inference, Concepts and Applications
• Author(s) Mohammad Saber Fallah Nezhad
• Publisher: IN-TECH (April 29, 2014); eBook (Creative Commons Licensed)
• License(s): Attribution 3.0 Unported (CC BY 3.0)
• Hardcover: 164 pages
• eBook: Multiple PDF Files
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-953-51-1364-5
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Book Description

This is a book on the far-ranging algorithmic methododogy of Dynamic Programming. It presents a comprehensive and rigorous treatment of dynamic programming.

Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. Because of these developments, interest in dynamic programming and Bayesian inference and their applications has greatly increased at all mathematical levels. The purpose of this book is to provide some applications of Bayesian optimization and dynamic programming.

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• Operations Research (OR), Linear Programming, Optimization, Approximation, etc.
• Bayesian Thinking
• Statistics and SAS Programming
• Applied Mathematics
• Computational and Algorithmic Mathematics

• Dynamic Programming and Bayesian Inference, Concepts and Applications
• PDF Format

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