Radix Sort Visualization


Radix Sort - Sorting Algorithm Visualizer

DESCRIPTION

Radix Sort is a non-comparative sorting algorithm that sorts numbers by processing individual digits, from the least significant to the most significant, using a stable sub-sorting method like counting sort.

The algorithm works by distributing numbers into buckets based on each digit’s value at a specific place (units, tens, hundreds, etc.), then collecting them back in order. This process repeats for each digit until the entire array is sorted.

Radix Sort has a time complexity of O(nk), where n is the number of elements and k is the number of digits in the maximum number. This makes it highly efficient for large datasets with fixed-length numbers.

One key advantage of Radix Sort is that it performs faster than comparison-based algorithms like QuickSort and MergeSort for certain types of data, such as integers and fixed-length strings, especially when the range of values is limited.

Radix Sort is widely used in applications such as digital signal processing, data distribution, and integer sorting in computer graphics and computational geometry due to its predictable and stable sorting behavior.

COMPLEXITY

Average Complexity O(nk)
Best Case O(nk)
Worst Case O(nk)
Space Complexity O(n + k)
Radix Sort Visualization

Radix SORT IMPLEMENTATION

                    
                
Radix Sort Visualization