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.
Kotlin DSA Implementation
basic.kt
fun listString(values: List<Int>) = values.joinToString(", ", "[", "]")
fun heapInsert(heap: MutableList<Int>, value: Int) {
heap.add(value)
var child = heap.lastIndex
while (child > 0) {
val parent = (child - 1) / 2
if (heap[parent] <= heap[child]) break
val tmp = heap[parent]; heap[parent] = heap[child]; heap[child] = tmp
child = parent
}
}
fun heapPop(heap: MutableList<Int>): Int {
val smallest = heap[0]
heap[0] = heap.removeAt(heap.lastIndex)
var parent = 0
while (true) {
val left = parent * 2 + 1
val right = left + 1
if (left >= heap.size) break
var child = left
if (right < heap.size && heap[right] < heap[left]) child = right
if (heap[parent] <= heap[child]) break
val tmp = heap[parent]; heap[parent] = heap[child]; heap[child] = tmp
parent = child
}
return smallest
}
fun main() { val heap = mutableListOf(2, 4, 7, 9, 6); heapInsert(heap, 1); println(listString(heap)) }
@end @output [1, 4, 2, 9, 6, 7] @end