Introduction to C# Algorithms

Algorithms in C# are fundamental procedures or formulas for solving problems. They are central to computer science and software development, enabling efficient data processing and task automation.

Big-O notation describes the performance of an algorithm. Understanding it helps in writing efficient C# code. For instance, O(n) suggests linear growth, while O(1) indicates constant time complexity.

C# offers various sorting algorithms like QuickSort, MergeSort, and BubbleSort. Interestingly, the .NET framework uses QuickSort for its Array.Sort method, offering O(n log n) performance on average.

Graph algorithms, such as Dijkstra's and A* algorithms, are implemented in C# for pathfinding and networking. These algorithms help find the shortest paths, optimizing tasks like GPS navigation and network routing.

C# supports parallel algorithms through the Task Parallel Library (TPL). This allows tasks to run concurrently, making use of multi-core processors, thus improving performance in data-intensive applications.

The .NET framework's Array.Sort method can switch to Insertion Sort for small arrays, optimizing performance unexpectedly.