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)

Understanding graph properties

A graph is a collection of vertices or nodes that are connected to each other through edges. These edges can be ordered or unordered, which means that the edge can have a direction associated with it or it can be non-directed, which is also known as bidirectional edge. We represent a graph using a set G in relationship with vertices V and edges E as follows:

G = (V, E)

In the preceding diagram, we have five vertices and six edges:

V = {A, B, C, D, E}

E = {AB, AC, AD, BD, BE, CD, DE}

If we consider the previous diagram, the connectivity between A and B can be represented as AB or BA as we have not defined the direction for the connectivity. One of the significant differences between the graph and the tree data structures is that the graph can form a cycle or loop, but a tree data structure cannot. Unlike a tree data structure, we can start from...