Book Image

40 Algorithms Every Programmer Should Know

By : Imran Ahmad
5 (2)
Book Image

40 Algorithms Every Programmer Should Know

5 (2)
By: Imran Ahmad

Overview of this book

Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. You’ll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you’ll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
Table of Contents (19 chapters)
1
Section 1: Fundamentals and Core Algorithms
7
Section 2: Machine Learning Algorithms
13
Section 3: Advanced Topics

Graph Algorithms

There is a class of computational problems that can be best represented in terms of graphs. Such problems can be solved using a class of algorithms called graph algorithms. For example, graph algorithms can be used to efficiently search a value in a graphical representation of data. To work efficiently, these algorithms will first need to discover the structure of the graph. They also need to find the right strategy for following the edges of the graph to read the data stored in the vertices. As graph algorithms need to search values in order to work, efficient searching strategies lie at the center of designing efficient graph algorithms. Using graph algorithms is one of the most efficient ways of searching for information in complex, interconnected data structures that are linked through meaningful relationships. In today's era of big data, social...