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Learning JavaScript Data  Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms Write complex and powerful JavaScript code using the latest ECMAScript

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788623872
Length 426 pages
Edition 3rd Edition
Languages
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Author (1):
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Loiane Avancini Loiane Avancini
Author Profile Icon Loiane Avancini
Loiane Avancini
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Table of Contents (22) Chapters Close

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. JavaScript – A Quick Overview FREE CHAPTER 2. ECMAScript and TypeScript Overview 3. Arrays 4. Stacks 5. Queues and Deques 6. Linked Lists 7. Sets 8. Dictionaries and Hashes 9. Recursion 10. Trees 11. Binary Heap and Heap Sort 12. Graphs 13. Sorting and Searching Algorithms 14. Algorithm Designs and Techniques 15. Algorithm Complexity 1. Other Books You May Enjoy Index

Chapter 14. Algorithm Designs and Techniques

So far, we have had fun discussing how to implement several different data structures and the most commonly used sorting and searching algorithms. An algorithm in the programming world is very interesting. The most beautiful thing about algorithms (and programming logic) is that there is more than one approach to resolving a problem. As we learned in previous chapters, we can design a solution using the iterative approach or make the code easier to read using recursion. There are also other techniques we can use to solve problems with algorithms. In this chapter, we will learn about different techniques, and we will also discuss the next steps in case you are interested in diving deeper into this world.

In this chapter, we will cover:

  • Divide and conquer algorithms
  • Dynamic programming
  • Greedy algorithms
  • Backtracking algorithms
  • Famous algorithm problems
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