Book Image

PHP 7 Data Structures and Algorithms

By : Mizanur Rahman
5 (1)
Book Image

PHP 7 Data Structures and Algorithms

5 (1)
By: Mizanur Rahman

Overview of this book

PHP has always been the the go-to language for web based application development, but there are materials and resources you can refer to to see how it works. Data structures and algorithms help you to code and execute them effectively, cutting down on processing time significantly. If you want to explore data structures and algorithms in a practical way with real-life projects, then this book is for you. The book begins by introducing you to data structures and algorithms and how to solve a problem from beginning to end using them. Once you are well aware of the basics, it covers the core aspects like arrays, listed lists, stacks and queues. It will take you through several methods of finding efficient algorithms and show you which ones you should implement in each scenario. In addition to this, you will explore the possibilities of functional data structures using PHP and go through advanced algorithms and graphs as well as dynamic programming. By the end, you will be confident enough to tackle both basic and advanced data structures, understand how they work, and know when to use them in your day-to-day work
Table of Contents (14 chapters)

Implementing Huffman coding algorithm

Huffman coding is a compression technique used to reduce the number of bits required to send or store a message or string. It is based on the idea that frequently appearing characters will have shorter bit representation, and less frequent characters will have longer bit representation. If we consider the Huffman coding as a tree structure, the less frequent characters or items will be at the top part of the tree and more frequent items will be at the bottom of the tree or in the leaf. Huffman encoding relies a lot on the priority queue. Huffman encoding can be computed by first creating a tree of nodes.

Process to create a tree of nodes:

  1. We have to create a leaf node for each symbol and add it to the priority queue.
  2. While there is more than one node in the queue, do the following:

1. Remove the node of highest priority (lowest probability...