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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Chapter 9 Summary

In chapter 9, titled "Algorithm Design Techniques", we delved into the myriad ways to design algorithms to solve computational problems. These techniques are the backbone of problem-solving in computer science and a good understanding of these will enable you to effectively tackle many complex problems.

We started off with Recursion, which is a method of solving problems where the solution depends on solutions to smaller instances of the same problem. It involves a function calling itself with a smaller problem, the solution of which will contribute to solving the original problem. We covered the essential concepts of base case and recursive case, which ensure the recursion doesn't go on indefinitely. We also addressed some of the key considerations when using recursion, including stack overflow and the need for memoization to avoid redundant computations.

Next, we explored the Iterative approach which, in contrast to recursion, uses a loop construct...