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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

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Cover of 'Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Tools for Study of Pareto Optimal Points
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    Chapter 3 Some Tools for Decision Tables
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    Chapter 4 Different Kinds of Decision Trees
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    Chapter 5 Multi-stage Optimization of Decision Trees with Some Applications
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    Chapter 6 More Applications of Multi-stage Optimization of Decision Trees
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    Chapter 7 Bi-criteria Optimization Problem for Decision Trees: Cost Versus Cost
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    Chapter 8 Bi-criteria Optimization Problem for Decision Trees: Cost Versus Uncertainty
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    Chapter 9 Different Kinds of Rules and Systems of Rules
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    Chapter 10 Multi-stage Optimization of Decision Rules
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    Chapter 11 Bi-criteria Optimization Problem for Decision Rules and Systems of Rules: Cost Versus Cost
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    Chapter 12 Bi-criteria Optimization Problem for Decision Rules and Systems of Rules: Cost Versus Uncertainty
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    Chapter 13 Element Partition Trees: Main Notions
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    Chapter 14 Multi-stage Optimization of Element Partition Trees
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    Chapter 15 Bi-criteria Optimization of Element Partition Trees
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    Chapter 16 Matrix Chain Multiplication
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    Chapter 17 Binary Search Trees
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    Chapter 18 Global Sequence Alignment
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    Chapter 19 Optimal Paths in Directed Graphs
Attention for Chapter 13: Element Partition Trees: Main Notions
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Chapter title
Element Partition Trees: Main Notions
Chapter number 13
Book title
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-91839-6_13
Book ISBNs
978-3-31-991838-9, 978-3-31-991839-6
Authors

Hassan AbouEisha, Talha Amin, Igor Chikalov, Shahid Hussain, Mikhail Moshkov

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