Iterative Dynamic Programming
Dynamic programming is a powerful method for solving optimization problems, but has a number of drawbacks that limit its use to solving problems of very low dimension. To overcome these limitations, author Rein Luus suggested using it in an iterative fashion. Although this method required vast computer resources, modifications to his original schem
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Iterative Dynamic Programming
Dynamic programming is a powerful method for solving optimization problems, but has a number of drawbacks that limit its use to solving problems of very low dimension. To overcome these limitations, author Rein Luus suggested using it in an iterative fashion. Although this method required vast computer resources, modifications to his original schem
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Iterative Dynamic Programming

Iterative Dynamic Programming

by Rein Luus
Iterative Dynamic Programming

Iterative Dynamic Programming

by Rein Luus

eBook

$240.00 

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Overview

Dynamic programming is a powerful method for solving optimization problems, but has a number of drawbacks that limit its use to solving problems of very low dimension. To overcome these limitations, author Rein Luus suggested using it in an iterative fashion. Although this method required vast computer resources, modifications to his original schem

Product Details

ISBN-13: 9780429525094
Publisher: CRC Press
Publication date: 09/17/2019
Series: Monographs and Surveys in Pure and Applied Mathematics
Sold by: Barnes & Noble
Format: eBook
Pages: 344
File size: 15 MB
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About the Author

Rein Luus

Table of Contents

Chapter 1: Fundamental concepts; Chapter 2: Steady-state optimization; Chapter 3: Dynamic programming; Chapter 4: Iterative dynamic programming; Chapter 5: Allowable values for control; Chapter 6: Evaluation of parameters in IDP; Chapter 7: Piecewise linear control; Chapter 8: Time-delay systems; Chapter 9: Variable stage lengths; Chapter 10: Singular control problems; Chapter 11: State constraints; Chapter 12: Time optimal control; Chapter 13: Nonseparable problems; Chapter 14: Sensitivity considerations; Chapter 15: Toward practical optimal control
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