DSA Day 24/100
Preetika Prakash
1 min read
Topic: Searching
Questions Successfully Completed: 1
1) Count More than n/k Occurences | Easy |
Count More than n/k Occurences
Time Complexity : O(n + max)
Space Complexity: O(max)
Question
Input: N = 8 arr[] = {3,1,2,2,1,2,3,3} k = 4 Output: 2 Explanation: In the given array, 3 and 2 are the only elements that appears more than n/k times.
public static int countoccurences(int[] arr, int n, int k){
int max = arr[0];
for(int i=1;i<n;i++){
if(arr[i]>max){
max = arr[i];
}
}
int[] hash_arr = new int[max+1];
for(int i=0;i<n;i++){
hash_arr[arr[i]]++;
}
System.out.println(Arrays.toString(hash_arr));
int count =0;
int div = n/k;
for(int i=0;i<hash_arr.length;i++){
if(hash_arr[i]>div){count++;}
}
return count;
}
public static void main(String[] args) {
int[] arr1 = {3,1,2,2,1,2,3,3};
int n1 = arr1.length;
int k1 = 4;
System.out.println(countoccurences(arr1,n1, k1));
int[] arr2 = {2,3,3,2};
int n2 = arr2.length;
int k2 = 3;
System.out.println(countoccurences(arr2,n2, k2));
}
}
/*
OUTPUT
[0, 2, 3, 3]
2
[0, 0, 2, 2]
2
* */
Thank you for reading :)
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Written by
Preetika Prakash
Preetika Prakash
Attempting #100DaysofCode challenge | Open Source Contributor