Counting Sort Algorithm Visualization | Step by Step Python Code Animation
Sorting Algorithm Counting Sort determines the range of input values using min and max, creates a frequency array of that size, and accumulates running sums to transform frequencies into cumulative counts that indicate each element's final position. The algorithm then iterates backward through the input array to place each element into a stable sorted output array.
Complexity Analysis:
Time Complexity: O(n + k) — where n is the number of elements and k is the range of possible values (max - min + 1)
Space Complexity: O(n + k) — requires an output array of size n and a counting array of size k
Timestamps:
0:00 — Handle Empty Input And Find Array Range
0:15 — Build Frequency Count Array
0:22 — Compute Cumulative Sums For Stable Positioning
2:05 — Build Sorted Output Array
3:51 — Return Result
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