An array $A$ of length $n$ with distinct elements is said to be bitonic if there is an index $1=i=n$ such that $A[1 . . i]$ is sorted in the non-decreasing order and $A[i+1 . . n]$ is sorted in the non-increasing order.

Which ONE of the following represents the best possible asymptotic bound for the worstcase number of comparisons by an algorithm that searches for an element in a bitonic array $A$?

An operator $$delete(i)$$ for a binary heap data structure is to be designed to delete the item in the $$i$$-th node. Assume that the heap is implemented in an array and i refers to the $$i$$-th index of the array. If the heap tree has depth $$d$$ (number of edges on the path from the root to the farthest leaf), then what is the time complexity to re-fix the heap efficiently after the removal of the element?

A complete binary min-heap is made by including each integer in $$[1,1023]$$ exactly once. The depth of a node in the heap is the length of the path from the root of the heap to that node. Thus, the root is at depth $$0.$$ The maximum depth at which integer $$9$$ can appear is ___________.

Assume that a mergesort algorithm in the worst case takes $$30$$ seconds for an input of size $$64.$$ Which of the following most closely approximates the maximum input size of a problem that can be solved in $$6$$ minutes?