Book Image

C++ Data Structures and Algorithms

By : Wisnu Anggoro
5 (1)
Book Image

C++ Data Structures and Algorithms

5 (1)
By: Wisnu Anggoro

Overview of this book

C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer. We begin with an introduction to C++ data structures and algorithms while also covering essential language constructs. Next, we will see how to store data using linked lists, arrays, stacks, and queues. Then, we will learn how to implement different sorting algorithms, such as quick sort and heap sort. Along with these, we will dive into searching algorithms such as linear search, binary search and more. Our next mission will be to attain high performance by implementing algorithms to string datatypes and implementing hash structures in algorithm design. We'll also analyze Brute Force algorithms, Greedy algorithms, and more. By the end of the book, you'll know how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Merge sort


Merge sort is an efficient sorting algorithm that divides the input array into two parts of a sublist. It sorts each sublist and then merges them. To sort each sublist, the algorithm divides the sublist in two again. If this sublist of the sublist can be divided into two halves, then it will be. The idea of the merge sort is that it will merge all the sorted sublists into the fully sorted list. Suppose we have an array containing these elements, {7, 1, 5, 9, 3, 6, 8, 2}, as shown in the following diagram:

We can divide the array into two sublists, which are [7, 1, 5, 9] and [3, 6, 8, 2]. Then, the first sublist can be divided as well to become [7, 1] and [5, 9]. We can sort these sublists and they will be [1, 7] and [59], and then we can merge this sublist so that it becomes [1, 5, 7, 9], as shown in the following diagram:

By now, we have one sorted sublist. We need to sort another sublist, [3, 6, 8, 2]. We can divide this sublist to become [3, 6] and [8, 2], and then sort them...