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Can I read Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146) on EtoBox?

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146) by Hassan AbouEisha, Talha Amin, Igor Chikalov, Shahid Hussain, Mikhail Moshkov is a nonfiction available to read on EtoBox.

What is Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146) about?

"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 under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. Th

Who reads Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Hassan AbouEisha, Talha Amin, Igor Chikalov, Shahid Hussain, Mikhail Moshkov
Publisher
Springer International Publishing : Imprint: Springer
Published
2019
Language
EN
ISBN
9783319918402
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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