Here are the steps: Assume arrays A[n] and B[m]
- x = A[k] - Look for value (x-1) in array B. Binary search will take O(logm) time. - If no such value is present then return x - If such a value is present at index l, then return (A[k-l] > B[l]? A [k-l] : B[l]) As you can see there is only 1 binary search performed. Rest is the constant time operation. On Apr 30, 3:27 am, Saurabh <[email protected]> wrote: > Two sorted sequences of size m and n are given. Write an efficient > algo to find k-th smallest element in the set of combined m+n > elements. Note that the best possible algorithm runs in O(log(max > (m,n))). --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/algogeeks -~----------~----~----~----~------~----~------~--~---
