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  • Book Overview & Buying Hands-On Data Structures and Algorithms with JavaScript
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Hands-On Data Structures and Algorithms with JavaScript

Hands-On Data Structures and Algorithms with JavaScript

By : Mukkamala
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Hands-On Data Structures and Algorithms with JavaScript

Hands-On Data Structures and Algorithms with JavaScript

4 (3)
By: Mukkamala

Overview of this book

Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors. Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you! You'll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you'll increase the performance of your application using micro optimizations and memory management. By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case.
Table of Contents (11 chapters)
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5
Simplify Complex Applications Using Graphs

Exploring Types of Algorithms

An algorithm in the computer science world is a set of instructions that takes finite space and time to execute. It starts at an initial state of the application and then performs a set of instructions step by step to achieve the end result. 

Algorithms come in all shape and sizes, and all of them will fit the bill when you compare it with the overly generic definition of what an algorithm is. The big question is to decide which algorithm to use in which case and to make modifications to enhance its functionality based on the application's needs.

As I have shown in the use cases in previous chapters, most of the times, the algorithms that exist out there do not directly apply to the problems at hand. This is when a thorough understanding of the algorithm comes in handy. That is exactly what we will be doing in this chapter; we will take...

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