Asy Learning Data Structures Algorithms Javascript
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Easy Learning Data Structures & Algorithms Javascript
Understand data structures and the associated algorithms, as well as the context in which they are used.Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs.All concepts are explained in an easy way, followed by examples.You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter.1. Bubble Sorting Algorithm2. Select Sorting Algorithm3. Insert Sorting Algorithm4. Dichotomy Binary Search5. Unidirectional Linked List5.1 Create and Initialization5.2 Add Node5.3 Insert Node5.4 Delete Node6. Doubly Linked List6.1 Create and Initialization6.2 Add Node6.3 Insert Node6.4 Delete Node7. One-way Circular LinkedList7.1 Initialization and Traversal7.2 Insert Node7.3 Delete Node8. Two-way Circular LinkedList8.1 Initialization and Traversal8.2 Insert Node8.3 Delete Node9. Queue10. Stack11. Recursive Algorithm12. Two-way Merge Algorithm13. Quick Sort Algorithm14. Binary Search Tree 14.1 Construct a binary search tree 14.2 Binary search tree In-order traversal 14.3 Binary search tree Pre-order traversal 14.4 Binary search tree Post-order traversal 14.5 Binary search tree Maximum and minimum 14.6 Binary search tree Delete Node15. Binary Heap Sorting16. Hash Table17. Graph 17.1 Undirected Graph and Depth-Frst Search 17.2 Undirected Graph and Breadth-First Search 17.3 Directed Graph and Depth-Frst Search 17.4 Directed Graph and Breadth-First Search 17.5 Directed Graph Topological Sorting
Data Structures and Algorithms with JavaScript
Author: Michael McMillan
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2014-03-10
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C♯ and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms--including linked lists, stacks, queues, and graphs--within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included. This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
Easy Learning Data Structures and Algorithms JavaScript (2 Edition)
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for developing software. It can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the ES6 + JavaScript language as well as how to implement some of the most common algorithms used with such data structures. You will get to know arrays, lists, linkedlist together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely Trees and graphs, together with some algorithms for searching the shortest path in a graph. This book is rich in examples, with beautiful pictures and texts, and step by step explains the data structure and algorithms in a way that is easy to understand.