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Python Data Structures and Algorithms

You're reading from  Python Data Structures and Algorithms

Product type Book
Published in May 2017
Publisher Packt
ISBN-13 9781786467355
Pages 310 pages
Edition 1st Edition
Languages
Author (1):
Benjamin Baka Benjamin Baka
Profile icon Benjamin Baka
Toc

Table of Contents (20) Chapters close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Python Objects, Types, and Expressions 2. Python Data Types and Structures 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. Design Techniques and Strategies 13. Implementations, Applications, and Tools

Complexity classes


The problems that computer algorithms try to solve fall within a range of difficulty by which their solutions are arrived at. In this section, we will discuss the complexity classes N, NP, NP-complete, and NP-hard problems.

P versus NP

The advent of computers has sped up the rate at which certain tasks are performed. In general, computers are good at perfecting the art of calculation and all problems that can be reduced to a set of mathematical computations. However, this assertion is not entirely true. There are some nature or classes of problems that just take an enormous amount of time for the computer to make a sound guess, let alone find the right solution.

In computer science, the class of problems that computers can solve within polynomial time using a step-wise process of logical steps is called P-type problems, where P stands for polynomial. These are relatively easy to solve.

Then there is another class of problems that is considered very hard to solve. The word...

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