Heapsort is an algorithm that sorts a sequence of numbers in non-decreasing order in time and space.

Tip

This problem can also be solved by Selection Sort in time and space.

Tip

This problem can also be solved by Insertion Sort in time and space.

Tip

This problem can also be solved by Bubble Sort in time and space.

Tip

This problem can also be solved by Merge Sort in time and space.

Tip

This problem can also be solved by Quicksort in time and space.

Tip

This problem can also be solved by the Manber-Myers Algorithm in time and space.

Algorithm 0

  1. Let multiset .
  2. For , set , and update to .

Using an appropriate priority queue (e.g., Binary Heap, Leftist Tree) to maintain yields an algorithm that solves the problem in time and space.

void heapsort(int n, std::vector<int> &a) {
	std::priority_queue q(a.begin(), a.end());
	for (int i = n - 1; i >= 0; i--) {
		a[i] = q.top();
		q.pop();
	}
}

Algorithm 1

Based on Algorithm 0, instead of constructing a Binary Heap explicitly, operating directly on the sequence yields an algorithm that solves the problem in time and space.

void heapsort(int n, std::vector<int> &a) {
	auto b = a.begin() - 1;
	for (int i = n; i > 0; i--) {
		for (int j = i, k; j << 1 <= n; j = k) {
			k = j << 1 | ((j << 1 | 1) <= n && b[j << 1 | 1] > b[j << 1]);
			if (b[j] < b[k]) {
				std::swap(b[j], b[k]);
			} else {
				break;
			}
		}
	}
	for (int i = n; i > 1; i--) {
		std::swap(b[1], b[i]);
		for (int j = 1, k; j << 1 < i; j = k) {
			k = j << 1 | ((j << 1 | 1) < i && b[j << 1 | 1] > b[j << 1]);
			if (b[j] < b[k]) {
				std::swap(b[j], b[k]);
			} else {
				break;
			}
		}
	}
}