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Extensions of dynamic programming for combinatorial optimization and data mining

Author: Hassan AbouEisha; Talha Amin; Igor Chikalov; Shahid Hussain; Mikhail Moshkov
Publisher: Cham, Switzerland : Springer, 2019.
Series: Intelligent systems reference library, v. 146.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hassan AbouEisha; Talha Amin; Igor Chikalov; Shahid Hussain; Mikhail Moshkov
ISBN: 9783319918396 3319918397
OCLC Number: 1038015027
Description: 1 online resource (xvi, 280 pages) : illustrations (some color).
Contents: Introduction --
Tools for Study of Pareto Optimal Points --
Some Tools for Decision Tables --
Different Kinds of Decision Trees --
Multi-stage Optimization of Decision Trees with Some Applications --
More Applications of Multi-stage Optimizationof Decision Trees --
Bi-Criteria Optimization Problem for Decision Trees: Cost vs Cost --
Bi-Criteria Optimization Problem for Decision Trees: Cost vs Uncertainty --
Different Kinds of Rules and Systems of Rules.
Series Title: Intelligent systems reference library, v. 146.
Responsibility: Hassan AbouEisha, Talha Amin, Igor Chikalov, Shahid Hussain, Mikhail Moshkov.

Abstract:

Dynamic programming is an efficient technique for solving optimization problems. and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication,  Read more...

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