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LEFT ( i ) return 2 i RIGHT ( i ) return 2 i + 1 MaxHeapify ( A , i ) l = LEFT

LEFT(i)
return 2i
RIGHT(i)
return 2i +1
MaxHeapify(A, i)
l = LEFT(i);
r = RIGHT(i);
if l <= A.heap-size and A[l]> A[i]
largest = l;
else
largest = i;
if l <= A.heap-size and A[r]> A[largest]
largest = r;
if largest != i
exchange A[i] with A[largest]
MaxHeapify(A, largest)
BuildMaxHeap(A)
A.heap-size = A.length
for i = floor(A.length/2) downto 1
MaxHeapify(A, i)
If we modify the for loop in BuildMaxHeap(A) to increase from 1 to floor(A.length/2) rather than decrease from floor(A.length/2) to 1, would the algorithm work?
Group of answer choices
True
False

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