Book Image

Introduction to Algorithms

By : Cuantum Technologies LLC
Book Image

Introduction to Algorithms

By: Cuantum Technologies LLC

Overview of this book

Begin your journey into the fascinating world of algorithms with this comprehensive course. Starting with an introduction to the basics, you will learn about pseudocode and flowcharts, the fundamental tools for representing algorithms. As you progress, you'll delve into the efficiency of algorithms, understanding how to evaluate and optimize them for better performance. The course will also cover various basic algorithm types, providing a solid foundation for further exploration. You will explore specific categories of algorithms, including search and sort algorithms, which are crucial for managing and retrieving data efficiently. You will also learn about graph algorithms, which are essential for solving problems related to networks and relationships. Additionally, the course will introduce you to the data structures commonly used in algorithms. Towards the end, the focus shifts to algorithm design techniques and their real-world applications. You will discover various strategies for creating efficient and effective algorithms and see how these techniques are applied in real-world scenarios. By the end of the course, you will have a thorough understanding of algorithmic principles and be equipped with the skills to apply them in your technical career.
Table of Contents (14 chapters)
11
Conclusion
12
Where to continue?
13
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5.2: Binary Search

Binary Search is an algorithm that is highly efficient when compared to Linear Search, provided that certain conditions are met. In this case, Binary Search follows the divide-and-conquer principle, which we have talked about in detail in Chapter 4.

To further understand this concept, let's take a closer look at how it works. First, Binary Search examines the middle element of a sorted list. If the target value is equal to this middle element, it means that we have successfully found our target and the search process can be terminated. However, if the target value is less than the middle element, we can assume that the target value cannot be found in the right half of the list. As a result, the search process will only continue on the left half of the list. On the other hand, if the target value is greater than the middle element, we can safely assume that the target value cannot be found in the left half of the list. Hence, the search process will only continue...