“Algorithms Introduction” is a comprehensive guide to computer algorithms, designed for students, computer scientists, and software engineers. This book covers the fundamental concepts, techniques, and tools needed to understand, design, and analyze algorithms.

1- Introduction to Algorithms: This section provides an overview of algorithms, including their definition, applications, and types.

2- Time and Space Complexity: This section introduces the concepts of time and space complexity, and how to analyze the efficiency of algorithms.

3- Sorting Algorithms: This section covers the different types of sorting algorithms, including bubble sort, insertion sort, merge sort, and quick sort.

4- Searching Algorithms: This section explores the various searching algorithms, including linear search, binary search, and hash tables.

5- Graph Algorithms: This section covers graph algorithms, including breadth-first search, depth-first search, and shortest path algorithms.

6- Dynamic Programming: This section introduces the concept of dynamic programming and its application to solving optimization problems.

7- Greedy Algorithms: This section covers greedy algorithms, including the activity selection problem and the knapsack problem.

8- Divide and Conquer: This section introduces the divide and conquer approach to problem-solving, and its application to merge sort and quick sort algorithms.

9- Advanced Topics: This section covers advanced topics, such as randomized algorithms, approximation algorithms, and parallel algorithms.

10- Conclusion: This section summarizes the key points covered in the book, and provides recommendations for further reading and practice.

“Algorithms” is an essential resource for students, computer scientists, and software engineers looking to deepen their understanding of algorithms. The book provides a clear and comprehensive coverage of the fundamental concepts, techniques, and tools needed to master algorithms, and to solve real-world problems with efficiency and effectiveness.