How Long to Read Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

How Long Does it Take to Read Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining?

It takes the average reader 4 hours and 40 minutes to read Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by Hassan AbouEisha

Assuming a reading speed of 250 words per minute. Learn more

Description

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. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.

How long is Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining?

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by Hassan AbouEisha is 280 pages long, and a total of 70,000 words.

This makes it 94% the length of the average book. It also has 86% more words than the average book.

How Long Does it Take to Read Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 22 minutes to read Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining aloud.

What Reading Level is Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining?

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining?

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by Hassan AbouEisha is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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