08-heaps
Min-Heap Insert (Sift Up)
Insert one value into a min-heap and restore the parent-child order by sifting upward.
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. @end @complexity
- Time: O(log n)
- Space: O(1) extra @end
sift up
A new value starts at the end of the array and swaps with its parent while it is smaller.
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(2, 4, 7, 9, 6); heapInsert(heap, 1); println(listString(heap)) }
}
@end @output [1, 4, 2, 9, 6, 7] @end