Re: [algogeeks] Find the number with maximum frequency in an array. Better than O(nlogn + n) time complexity
On Mon, May 31, 2010 at 10:01 PM, souravsain souravs...@gmail.com wrote: Hi All This is my first post to this community and so am exited. The problem is to find the no. that has maximum frequency in an array (size n) of integers. The approach to use a hash table, itereate through array (O(n)) and keep inserting into hash table (O(1)) and then scan the hash table (O(n)) to find entry with max frequency is known. You don't need to scan hash table again. Keep track of max while inserting. Update max when ever freq of some character is more than max. Not to mention that one more iteration is needed to find the maximum value in array so as to decide the sixe of hash table (to keep insertion perfectly O(N). I am looking for a solution which is having O(1) space complexity. The best I can think of is to sort the array in O(nlogn) and then make a pass through the array O(n) to find one with max frequency. So here time complexity is O(nlogn + n). Can we have a better solution? -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@googlegroups.com. To unsubscribe from this group, send email to algogeeks+unsubscr...@googlegroups.comalgogeeks%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 algoge...@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.
Re: [algogeeks] Find the number with maximum frequency in an array. Better than O(nlogn + n) time complexity
This question has already been discussed here.There are 4-5 methods to do this ,best is 'Moore voting algorithm' . refer: http://geeksforgeeks.org/?p=503 On Mon, May 31, 2010 at 10:01 PM, souravsain souravs...@gmail.com wrote: Hi All This is my first post to this community and so am exited. The problem is to find the no. that has maximum frequency in an array (size n) of integers. The approach to use a hash table, itereate through array (O(n)) and keep inserting into hash table (O(1)) and then scan the hash table (O(n)) to find entry with max frequency is known. Not to mention that one more iteration is needed to find the maximum value in array so as to decide the sixe of hash table (to keep insertion perfectly O(N). I am looking for a solution which is having O(1) space complexity. The best I can think of is to sort the array in O(nlogn) and then make a pass through the array O(n) to find one with max frequency. So here time complexity is O(nlogn + n). Can we have a better solution? -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@googlegroups.com. To unsubscribe from this group, send email to algogeeks+unsubscr...@googlegroups.comalgogeeks%2bunsubscr...@googlegroups.com . For more options, visit this group at http://groups.google.com/group/algogeeks?hl=en. -- Thanks Regards Nikhil Agarwal Senior Undergraduate Computer Science Engineering, National Institute Of Technology, Durgapur,India http://tech-nikk.blogspot.com http://beta.freshersworld.com/communities/nitd -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@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.
Re: [algogeeks] Find the number with maximum frequency in an array. Better than O(nlogn + n) time complexity
see this .vote majority algorithm.. http://userweb.cs.utexas.edu/~moore/best-ideas/mjrty/index.html -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@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.
Re: [algogeeks] Find the number with maximum frequency in an array. Better than O(nlogn + n) time complexity
This is a different problem, where the requested number with maximum frequency is not necessary majority. On 2010-6-1 13:19, harit agarwal wrote: see this .vote majority algorithm.. http://userweb.cs.utexas.edu/~moore/best-ideas/mjrty/index.html http://userweb.cs.utexas.edu/%7Emoore/best-ideas/mjrty/index.html -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@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. -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@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.
[algogeeks] Find the number with maximum frequency in an array. Better than O(nlogn + n) time complexity
Hi All This is my first post to this community and so am exited. The problem is to find the no. that has maximum frequency in an array (size n) of integers. The approach to use a hash table, itereate through array (O(n)) and keep inserting into hash table (O(1)) and then scan the hash table (O(n)) to find entry with max frequency is known. Not to mention that one more iteration is needed to find the maximum value in array so as to decide the sixe of hash table (to keep insertion perfectly O(N). I am looking for a solution which is having O(1) space complexity. The best I can think of is to sort the array in O(nlogn) and then make a pass through the array O(n) to find one with max frequency. So here time complexity is O(nlogn + n). Can we have a better solution? -- You received this message because you are subscribed to the Google Groups Algorithm Geeks group. To post to this group, send email to algoge...@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.
