2. In the lectures, we studied binary heaps. A min-Heap can be visualized as a binary tree of height with each node having at most two children with the property that value of a node is at most the value of its children. Such heap containing n elements can be represented (stored) as an array with the property la Suppose that you would like to construct a and the value of a node is at most the value of its children min Heap: each node has at most children (a) How do you represent min heap as an array? Write the property of the array. (b) What is the height of the l heap (when visualized as a tree) consisting of n elements in terms of l and n? Assume that the height of a heap-tree with just 1 element is 1 (c) Describe an algorithm to remove the smallest element from an l heap containing n elements. What is the asymptotic run time of the your algorithm (in terms of n and 2). Part of the grade depends on the runtime