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 in C#

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.Sorting Algorithms in C#

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 in C#

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.Parallel Algorithms in C#

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.C#'s Hidden Algorithm

The .NET framework's Array.Sort method can switch to Insertion Sort for small arrays, optimizing performance unexpectedly.What does O(n) signify in Big-O?

Constant time complexity

Exponential growth

Linear growth

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