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

Summary


In this chapter, we discussed various searching algorithms, from the fastest searching algorithm to the slowest searching algorithm. To get a faster searching algorithm, we can use the interpolation search with O(log (log N)), since it can find the nearest middle index from a searched value. The others are binary search with O(log N) and exponential search with O(log i), where i is the index of searched value. The moderate searching algorithm is a jump search, which has O(√N) and the slowest algorithm is a linear algorithm with O(N) complexity, since it has to check all list elements; however, contrary to other searching algorithms we discussed in this chapter, the linear algorithm can also be applied to an unsorted list.

In the next chapter, we are going to discuss several common algorithms that are frequently used in string data type to gain the best performance.