Sorting
Merge Sort (Top-Down)
Split the array recursively, sort each half, then merge two sorted runs into one sorted result.
Algorithm
The checked-in replay follows the same small input and final output across all 21 DSA books, so this C# DSA implementation can be compared directly with the other languages.
Basic Implementation
basic.cs
using System;
class Program {
static void Main() {
int[] arr = new int[] { 5, 1, 4, 2, 8 };
PrintArray(MergeSort(arr));
}
static void PrintArray(int[] arr) {
Console.Write("[");
for (int i = 0; i < arr.Length; i++) {
if (i > 0) Console.Write(", ");
Console.Write(arr[i]);
}
Console.WriteLine("]");
}
static int[] MergeSort(int[] values) {
if (values.Length <= 1) return values;
int mid = values.Length / 2;
int[] left = values[..mid];
int[] right = values[mid..];
return Merge(MergeSort(left), MergeSort(right));
}
static int[] Merge(int[] left, int[] right) {
int[] merged = new int[left.Length + right.Length];
int i = 0, j = 0, k = 0;
while (i < left.Length && j < right.Length) {
if (left[i] <= right[j]) merged[k++] = left[i++];
else merged[k++] = right[j++];
}
while (i < left.Length) merged[k++] = left[i++];
while (j < right.Length) merged[k++] = right[j++];
return merged;
}
}
Complexity
- Time: O(n log n)
- Space: O(n)
- Stable: yes
Implementation notes
- Keep the explicit algorithmic steps instead of calling a standard-library sort. The replay is meant to expose comparisons, movement, and recursion.
- The implementation is intentionally compact for learning and replay, not a production sorting utility.
divide and conquer
Each recursive call solves a smaller sorted subproblem.
merge step
Two sorted halves are combined by repeatedly taking the smaller front item.