Answer the given question with a proper explanation and step-by-step solution. 3. Draw the recursion tree when n = 8, where n represents the length of the array, for the following recursive method: int sum(int[] array, int first, int last) { if (first == last) return array[first]; int mid = (first + last) / 2; return sum(array, first, mid) + sum(array, mid + 1, last); }  Determine a formula that counts the numbers of nodes in the recursion tree.  What is the Big- for execution time?  Determine a formula that expresses the height of the tree.  What is the Big- for memory?  Write an iterative solution for this same problem and compare its efficiency with this recursive solution. 4. Using the recursive method in problem 3 and assuming n is the length of the array.  Modify the recursion tree from the previous problem to show the amount of work on each activation and the row sums.  Determine the initial conditions and recurrence equation.  Determine the critical exponent.  Apply the Little Master Theorem to solve that equation.  Explain whether this algorithm optimal. Please answer both of those questions asap.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Answer the given question with a proper explanation and step-by-step solution.

3. Draw the recursion tree when n = 8, where n represents the length of the array, for the following recursive method:
int sum(int[] array, int first, int last) {
if (first == last)
return array[first];
int mid = (first + last) / 2;
return sum(array, first, mid) + sum(array, mid + 1, last);
}
 Determine a formula that counts the numbers of nodes in the recursion tree.
 What is the Big- for execution time?
 Determine a formula that expresses the height of the tree.
 What is the Big- for memory?
 Write an iterative solution for this same problem and compare its efficiency with this recursive solution.

4. Using the recursive method in problem 3 and assuming n is the length of the array.
 Modify the recursion tree from the previous problem to show the amount of work on each activation and the row sums.
 Determine the initial conditions and recurrence equation.
 Determine the critical exponent.
 Apply the Little Master Theorem to solve that equation.
 Explain whether this algorithm optimal.

Please answer both of those questions asap.

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