Question
6. What is the run-time complexity of locating (but not removing) the maximum element in a max-heap of N elements? (a) O(1) (b) O(log N)
6. What is the run-time complexity of locating (but not removing) the maximum element in a max-heap of N elements?
(a) O(1) (b) O(log N) (c) O(N) (d) O(N log N) (e) O(N2 )
7. What is the run-time complexity of inserting a new element into a max-heap of N elements and ensuring the heap property is maintained?
(a) O(1) (b) O(log N) (c) O(N) (d) O(N log N) (e) O(N2 )
8. A student has proposed the following method as a faster way of counting the number of elements in a doubly-linked list with a sentinel head node.
def fast_count(self):
n = 0
h = self.head.next
while h is not self.head:
if h.next is not self.head:
n, h = n+2, h.next.next
else: n, h = n+1, h.next
return n
What is the time complexity of fast_count when run on a list with N elements?
(a) O(1) (b) O(log N) (c) O(N) (d) O(N log N) (e) O(N2 )
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