What is the time complexity of the bead sort algorithm?

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What is the time complexity of the bead sort algorithm?

The time complexity of the bead sort algorithm is O(n), where n represents the number of elements to be sorted. Bead sort is a non-comparative sorting algorithm that works by simulating the process of gravity. It involves placing beads on a set of parallel rods, where each bead represents an element to be sorted. The beads are then allowed to fall under the influence of gravity until they settle in their sorted positions.

In the bead sort algorithm, the maximum number of beads on a rod represents the maximum value in the input array. By counting the number of beads on each rod, we can determine the sorted order of the elements. Since the algorithm only involves counting and moving beads, it does not require any comparisons between elements.

The time complexity of the algorithm is determined by the number of beads and rods used. In the worst case, where the maximum value in the input array is significantly larger than the number of elements, the algorithm may require more rods and beads, resulting in a higher time complexity. However, in the average case, the time complexity remains linear, making it an efficient sorting algorithm for certain scenarios.