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Hands-On Data Structures and Algorithms with Python – Third Edition

You're reading from   Hands-On Data Structures and Algorithms with Python – Third Edition Store, manipulate, and access data effectively and boost the performance of your applications

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801073448
Length 496 pages
Edition 3rd Edition
Languages
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Author (1):
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Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (17) Chapters Close

Preface 1. Python Data Types and Structures FREE CHAPTER 2. Introduction to Algorithm Design 3. Algorithm Design Techniques and Strategies 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Heaps and Priority Queues 8. Hash Tables 9. Graphs and Algorithms 10. Searching 11. Sorting 12. Selection Algorithms 13. String Matching Algorithms 14. Other Books You May Enjoy
15. Index
Appendix: Answers to the Questions

Greedy algorithms

Greedy algorithms often involve optimization and combinatorial problems. In greedy algorithms, the objective is to obtain the optimum solution from many possible solutions in each step. We try to get the local optimum solution, which may eventually lead us to obtain the global optimum solution. The greedy strategy does not always produce the optimal solution. However, the sequence of locally optimal solutions generally approximates the globally optimal solution.

For example, consider that you are given some random digits, say 1, 4, 2, 6, 9, and 5. Now you have to make the biggest number by using all the digits without repeating any digit. To create the biggest number from the given digits using the greedy strategy, we perform the following steps. Firstly, we select the largest digit from the given digits, and then append it to the number and remove the digit from the list until we have no digits left in the list. Once all the digits have been used, we get the...

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