08-heaps
Min-Heap Pop (Sift Down)
Remove the minimum value, move the last item to the root, and sift downward.
Algorithm
Steps
- Store the heap in an array.
- Compare parent and child indexes instead of building explicit tree nodes.
- Swap only when the heap order is violated.
- Print the deterministic final heap state for replay comparison.
Complexity
- Time: O(log n)
- Space: O(1) extra
sift down
After removing the root, the last value moves to the root and swaps with the smaller child until order is restored.
Visual walkthrough
Scala DSA Implementation
basic.scala
import scala.collection.mutable.ArrayBuffer
object Main {
def listString(values: Seq[Int]): String = values.mkString("[", ", ", "]")
def heapInsert(heap: ArrayBuffer[Int], value: Int): Unit = {
heap += value
var child = heap.length - 1
while (child > 0) {
val parent = (child - 1) / 2
if (heap(parent) <= heap(child)) return
val tmp = heap(parent); heap(parent) = heap(child); heap(child) = tmp
child = parent
}
}
def heapPop(heap: ArrayBuffer[Int]): Int = {
val smallest = heap(0)
heap(0) = heap.remove(heap.length - 1)
var parent = 0
var done = false
while (!done) {
val left = parent * 2 + 1
val right = left + 1
if (left >= heap.length) done = true
else {
var child = left
if (right < heap.length && heap(right) < heap(left)) child = right
if (heap(parent) <= heap(child)) done = true
else { val tmp = heap(parent); heap(parent) = heap(child); heap(child) = tmp; parent = child }
}
}
smallest
}
def main(args: Array[String]): Unit = { val heap = ArrayBuffer(1, 4, 2, 9, 6, 7); val popped = heapPop(heap); println(s"$popped -> ${listString(heap)}") }
}
Implementation notes
- The heap is a Scala mutable
ArrayBuffer[Int], andheapPopmutates that same buffer while returning the removed minimum. - This source is a min-heap: parent values must stay
<=child values. val smallest = heap(0)saves the root result before the structure changes.heap(0) = heap.remove(heap.length - 1)removes the last slot and writes that returned value into the root position.- Sift-down starts with
var parent = 0; each loop computesleft = parent * 2 + 1andright = left + 1. - If there is no left child,
done = true; otherwisevar child = left, with the right child selected only when it exists and is smaller. - The swap uses an explicit
val tmpand slot writes, then updatesparent = childto continue downward. - The trace starts from
[1, 4, 2, 9, 6, 7], removes1, moves7to the root, then swaps7with smaller child2. mainprints the returned value and remaining heap as1 -> [2, 4, 7, 9, 6].
Output
1 -> [2, 4, 7, 9, 6]