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PHP 7 Data Structures and Algorithms

PHP 7 Data Structures and Algorithms

By : Rahman
5 (2)
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PHP 7 Data Structures and Algorithms

PHP 7 Data Structures and Algorithms

5 (2)
By: 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)
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Implementing Prim's spanning tree algorithm

Prim's algorithm for finding the minimum spanning tree relies on a greedy approach. A greedy approach is defined as an algorithm paradigm where we try to find the global optimal solution by considering the local optimal solution at each stage. We will explore greedy algorithms in Chapter 11Solve Problems with Advanced Techniques. In a greedy approach, the algorithm creates subsets of edges and finds out the least costly one from the subset of edges. This subset of edges will include all vertices. It starts from an arbitrary position and grows the tree one vertex at a time by choosing the cheapest possible connection between the vertices. Let's consider the following graph:

Now, we will apply a very basic version of Prim's algorithm to get the minimum spanning tree as well as the minimum cost or weight...

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