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.
Complexity
- Time: O(log n)
- Space: O(1) extra
sift up
A new value starts at the end of the array and swaps with its parent while it is smaller.
Visual walkthrough
Ruby DSA Implementation
basic.rb
def list_string(values) = "[#{values.join(', ')}]"
def heap_insert(heap, value)
heap << value
child = heap.length - 1
while child > 0
parent = (child - 1) / 2
break if heap[parent] <= heap[child]
heap[parent], heap[child] = heap[child], heap[parent]
child = parent
end
end
def heap_pop(heap)
smallest = heap[0]
heap[0] = heap.pop
parent = 0
loop do
left = parent * 2 + 1
right = left + 1
break if left >= heap.length
child = right < heap.length && heap[right] < heap[left] ? right : left
break if heap[parent] <= heap[child]
heap[parent], heap[child] = heap[child], heap[parent]
parent = child
end
smallest
end
heap = [2, 4, 7, 9, 6]
heap_insert(heap, 1)
puts list_string(heap)
Implementation notes
- The heap is a Ruby
Arraylaid out as a binary min-heap in level order. heap_insert(heap, value)mutates the passed array; it does not return a new heap.- Insert uses
heap << value, so the checked value1is appended after[2, 4, 7, 9, 6]. child = heap.length - 1starts at the appended slot, andparent = (child - 1) / 2uses Ruby integer division.- The loop runs while
child > 0and stops early withbreak if heap[parent] <= heap[child], which is the min-heap direction. - Swaps use Ruby parallel assignment:
heap[parent], heap[child] = heap[child], heap[parent]. - The trace shows
[2, 4, 7, 9, 6, 1], then swaps1with7, then swaps1with2. list_string(heap)formats the final array withjoin(', '), soputsprints[1, 4, 2, 9, 6, 7].
Output
[1, 4, 2, 9, 6, 7]