a) Find the median - O(n) b) remove the element and again find the median c) conitnue b until you get k-1 elements
time complexity - kO(n) On Wed, Jan 26, 2011 at 9:55 PM, ritu <ritugarg.c...@gmail.com> wrote: > > solution is nice!!but How to keep track of k closet numbers? > > > On Jan 23, 9:22 pm, ritesh <riteshcseit...@gmail.com> wrote: > > 1.) find x= median in o(n) > > 2.) subtract x from each number of the array > > 3.) find the k smallest number using o(n) algrithm > > > > On Jan 21, 4:04 am, snehal jain <learner....@gmail.com> wrote: > > > > > Given an unsorted array A of n distinct numbers and an integer k where > > > 1 <= k <= n, design an algorithm that finds the k numbers in A that > > > are closest in value to the median of A in O(n) time. > > > > > > -- > You received this message because you are subscribed to the Google Groups > "Algorithm Geeks" group. > To post to this group, send email to algogeeks@googlegroups.com. > To unsubscribe from this group, send email to > algogeeks+unsubscr...@googlegroups.com<algogeeks%2bunsubscr...@googlegroups.com> > . > For more options, visit this group at > http://groups.google.com/group/algogeeks?hl=en. > > -- You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to algogeeks@googlegroups.com. To unsubscribe from this group, send email to algogeeks+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/algogeeks?hl=en.
