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.
Free Chapter
Chapter 1: Introduction to Algorithms
Chapter 2: Pseudocode and Flowcharts
Chapter 3: Algorithm Efficiency
Chapter 4: Basic Algorithm Types
Chapter 5: Search Algorithms
Chapter 6: Sort Algorithms
Chapter 7: Graph Algorithms
Chapter 8: Data Structures Used in Algorithms
Chapter 9: Algorithm Design Techniques
Chapter 10: Real World Applications of Algorithms
Conclusion
Where to continue?

6.7 Practice Problems

It's practice time. We're going to delve into some practical problems to help solidify our understanding of sorting algorithms. Don't worry if you find these challenging at first; it's all part of the learning process.

1. Implement Bubble Sort

Here's a basic problem to get us started. Try implementing the Bubble Sort algorithm in a programming language of your choice. Here's a brief reminder of how Bubble Sort works:

Bubble Sort works by repeatedly swapping the adjacent elements if they are in the wrong order. It continues to do this until no more swaps are needed, which indicates that the list is now sorted.

Solution:

2. Analyze Quick Sort's Worst Case

Can you explain what causes Quick Sort's time complexity to degrade to O(n^2)? Under what conditions does this happen, and how can it be avoided?

3. Merge Sort with Linked Lists

Most examples of Merge Sort are done with arrays, but this algorithm can also be very...