Book Image

PHP 7 Data Structures and Algorithms

By : Rahman
5 (1)
Book Image

PHP 7 Data Structures and Algorithms

5 (1)
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)

Interpolation search

In binary search algorithm, we always start with the middle of the array to start the searching process. If an array is uniformly distributed and we are looking for an item, which, may be close to the end of array, then searching from the middle might not sound like a good choice to us. Interpolation search can be very helpful in such cases. Interpolation search is an improvement over binary search algorithm. Interpolation search may go to different location based on the value of the searched key. For example, if we are searching a key that is close to the beginning of the array, it will go to the first part of the array instead of starting from the middle. The position is calculated using a probe position calculator equation, which looks like this:

pos = low + [ (key-arr[low])*(high-low) / (arr[high]-arr[low]) ]

As we can see, we are going from our generic...