Absolute Beginner’s Guide to Algorithms A Practical Introduction to Data Structures and Algorithms in JavaScript 1st edition by Kirupa Chinnathambi 0138222437 9780138222437

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Product details:

ISBN-10 :  0138222437 

ISBN-13 : 9780138222437

Author : Kirupa Chinnathambi 

A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms.   With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming–algorithms and data structures–remains the same.    Absolute Beginner’s Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data.   Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more Walk through popular search, sort, and graph algorithms Understand Big-O notation and why some algorithms are fast and why others are slow Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms  

Absolute Beginner’s Guide to Algorithms: A Practical Introduction to Data Structures and Algorithms in JavaScript 1st Table of contents:

Part I: Data Structures
1 Introduction to Data Structures
Right Tool for the Right Job
Back to Data Structures
Conclusion
Some Additional Resources
2 Big-O Notation and Complexity Analysis
It’s Example Time
It’s Big-O Notation Time!
Conclusion
Some Additional Resources
3 Arrays
What Is an Array?
Adding an Item
Deleting an Item
Searching for an Item
Accessing an Item
Array Implementation / Use Cases
Arrays and Memory
Performance Considerations
Access
Insertion
Deletion
Searching
Conclusion
Some Additional Resources
4 Linked Lists
Meet the Linked List
Finding a Value
Adding Nodes
Deleting a Node
Linked List: Time and Space Complexity
Deeper Look at the Running Time
Space Complexity
Linked List Variations
Singly Linked List
Doubly Linked List
Circular Linked List
Skip List
Implementation
Conclusion
Some Additional Resources
5 Stacks
Meet the Stack
A JavaScript Implementation
Stacks: Time and Space Complexity
Runtime Performance
Memory Performance
Conclusion
Some Additional Resources
6 Queues
Meet the Queue
A JavaScript Implementation
Queues: Time and Space Complexity
Runtime Performance
Memory Performance
Conclusion
Some Additional Resources
7 Trees
Trees 101
Height and Depth
Conclusion
Some Additional Resources
8 Binary Trees
Meet the Binary Tree
Rules Explained
Binary Tree Variants
What about Adding, Removing, and Finding Nodes?
A Simple Binary Tree Implementation
Conclusion
Some Additional Resources
9 Binary Search Trees
It’s Just a Data Structure
Adding Nodes
Removing Nodes
Implementing a Binary Search Tree
Performance and Memory Characteristics
Conclusion
Some Additional Resources
10 Heaps
Meet the Heap
Common Heap Operations
Heap Implementation
Heaps as Arrays
The Code
Performance Characteristics
Removing the Root Node
Inserting an Item
Performance Summary
Conclusion
Some Additional Resources
11 Hashtable (aka Hashmap or Dictionary)
A Very Efficient Robot
From Robots to Hashing Functions
From Hashing Functions to Hashtables
Adding Items to Our Hashtable
Reading Items from Our Hashtable
JavaScript Implementation/Usage
Dealing with Collisions
Performance and Memory
Conclusion
Some Additional Resources
12 Trie (aka Prefix Tree)
What Is a Trie?
Inserting Words
Finding Items
Deleting Items
Diving Deeper into Tries
Many More Examples Abound!
Implementation Time
Performance
Conclusion
Some Additional Resources
13 Graphs
What Is a Graph?
Graph Implementation
Representing Nodes
The Code
Conclusion
Some Additional Resources
Part II: Algorithms
14 Introduction to Recursion
Our Giant Cookie Problem
Recursion in Programming
Recursive Function Call
Terminating Condition
Conclusion
Some Additional Resources
15 Fibonacci and Going Beyond Recursion
Recursively Solving the Fibonacci Sequence
Recursion with Memoization
Taking an Iteration-Based Approach
Going Deeper on the Speed
Conclusion
Some Additional Resources
16 Towers of Hanoi
How Towers of Hanoi Is Played
The Single Disk Case
It’s Two Disk Time
Three Disks
The Algorithm
The Code Solution
Check Out the Recursiveness!
It’s Math Time
Conclusion
Some Additional Resources
17 Search Algorithms and Linear Search
Linear Search
Linear Search at Work
JavaScript Implementation
Runtime Characteristics
Conclusion
Some Additional Resources
18 Faster Searching with Binary Search
Binary Search in Action
Sorted Items Only, Please
Dealing with the Middle Element
Dividing FTW!
The JavaScript Implementation
Iterative Approach
Recursive Approach
Example of the Code at Work
Runtime Performance
Conclusion
Some Additional Resources
19 Binary Tree Traversal
Breadth-First Traversal
Depth-First Traversal
Implementing Our Traversal Approaches
Node Exploration in the Breadth-First Approach
Node Exploration in the Depth-First Approach
Looking at the Code
Performance of Our Traversal Approaches
Conclusion
Some Additional Resources
20 Depth-First Search (DFS) and Breadth-First Search (BFS)
A Tale of Two Exploration Approaches
Depth-First Search Overview
Breadth-First Search Overview
Yes, They Are Different!
It’s Example Time
Exploring with DFS
Exploring with BFS
When to Use DFS? When to Use BFS?
A JavaScript Implementation
Using the Code
Implementation Detail
Performance Details
Conclusion
Some Additional Resources
21 Quicksort
A Look at How Quicksort Works
A Simple Look
Another Simple Look
It’s Implementation Time
Performance Characteristics
Time Complexity
Space Complexity
Stability
Conclusion
Some Additional Resources
22 Bubblesort
How Bubblesort Works
Walkthrough
The Code
Conclusion
Some Additional Resources
23 Insertion Sort
How Insertion Sort Works
One More Example
Algorithm Overview and Implementation
Performance Analysis
Conclusion
Some Additional Resources
24 Selection Sort
Selection Sort Walkthrough
Algorithm Deep Dive
The JavaScript Implementation
Conclusion
Some Additional Resources
25 Mergesort
How Mergesort Works
Mergesort: The Algorithm Details
Looking at the Code
Conclusion
Some Additional Resources
26 Conclusion

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