Consider the following Java code snippet:    

Solution

1.  PriorityQueue is a min-heap. Initial elements: {3, 5, 10, 15, 20}.     2.  boolean removed = pq.remove(20);         The remove(Object o) method attempts to remove a *specific* element from the priority queue. Unlike poll(), which always removes the root, remove(Object o) might need to search for the element within the heap. Since a heap does not guarantee any specific ordering for elements other than the root and its children, finding an arbitrary element can take O(N) time in the worst case (it might have to iterate through all elements). After finding and removing the element, the heap property must be restored, which takes O(log N) time. Thus, the overall time complexity for remove(Object o) is O(N). Since 20 is present, removed will be true.     3.  System.out.println(removed); prints true.     4.  System.out.println(pq.poll());         After 20 is removed, the remaining elements are {3, 5, 10, 15}. The smallest element is 3. poll() removes and prints 3.     Therefore, the output is true, 3, and the time complexity of remove(20) is O(N).