3 votes 3 votes A. T(n) = $O( n Log n)$ B. T(n) = $O({(logn)}^2)$ C. T(n) = $O(n)$ D. T(n) = $O(n^2)$ Algorithms recurrence-relation algorithms + – im.raj asked Jun 16, 2016 • retagged Jun 24, 2022 by makhdoom ghaya im.raj 3.0k views answer comment Share Follow See all 0 reply Please log in or register to add a comment.
Best answer 6 votes 6 votes Dude Its a simple Merge Sort algorithm, reccurance relation. Answer will be A) $O(nLogn)$ Well Here you can check the solution, if you want. rude answered Jun 16, 2016 • selected Jun 16, 2016 by im.raj rude comment Share Follow See all 2 Comments See all 2 2 Comments reply abhinav kumar commented Nov 26, 2019 reply Follow Share ok 0 votes 0 votes Sajal Mallick commented Dec 1, 2023 reply Follow Share Using master’s theorem also can apply and ans is O(n logn). 0 votes 0 votes Please log in or register to add a comment.