[Solved] What is the space complexity of the divide and conquer algorithm used to find the maximum sub-array sum?

McqMate

Q.	What is the space complexity of the divide and conquer algorithm used to find the maximum sub-array sum?
A.	o(n)
B.	o(1)
C.	o(n!)
D.	o(n2)
Answer» B. o(1)
Explanation: the divide and conquer algorithm uses a constant space. so, the space complexity is o(1).

673

0

Do you find this helpful?

1

View all MCQs in

Design and Analysis of Algorithms

Discussion

No comments yet

Related MCQs

What is the time complexity of matrix multiplied recursively by Divide and Conquer Method?
You are given infinite coins of N denominations v1, v2, v3,…..,vn and a sum S. The coin change problem is to find the minimum number of coins required to get the sum S. What is the time complexity of a dynamic programming implementation used to solve the coin change problem?
What will be the auxiliary space complexity of dynamic programming solution of set partition problem(sum=sum of set elements)?
Quick sort follows Divide-and-Conquer strategy.
What is the optimal time required for solving the closest pair problem using divide and conquer approach?
In divide and conquer, the time is taken for merging the subproblems is?
The optimal time obtained through divide and conquer approach using merge sort is the best case efficiency.
What is the worst case time complexity of dynamic programming solution of set partition problem(sum=sum of set elements)?
What is the space complexity of the recursive implementation used to find the nth fibonacci term?
What is the space complexity of the following dynamic programming implementation used to find the minimum number of jumps?