Javascript Program for Range Queries for Frequencies of array elements
Last Updated :
18 Sep, 2024
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Given an array of n non-negative integers. The task is to find frequency of a particular element in the arbitrary range of array[]. The range is given as positions (not 0 based indexes) in array. There can be multiple queries of given type.
Examples:
Input : arr[] = {2, 8, 6, 9, 8, 6, 8, 2, 11};
left = 2, right = 8, element = 8
left = 2, right = 5, element = 6
Output : 3
1
The element 8 appears 3 times in arr[left-1..right-1]
The element 6 appears 1 time in arr[left-1..right-1]
Naive approach: is to traverse from left to right and update count variable whenever we find the element.
Below is the code of Naive approach:-
// Javascript Code to find total count of an element
// in a range
// Returns count of element in arr[left-1..right-1]
function findFrequency(arr,n,left,right,element)
{
let count = 0;
for (let i = left - 1; i < right; ++i)
if (arr[i] == element)
++count;
return count;
}
/* Driver program to test above function */
let arr=[2, 8, 6, 9, 8, 6, 8, 2, 11];
let n = arr.length;
// Print frequency of 2 from position 1 to 6
console.log("Frequency of 2 from 1 to 6 = " +
findFrequency(arr, n, 1, 6, 2));
// Print frequency of 8 from position 4 to 9
console.log("Frequency of 8 from 4 to 9 = " +
findFrequency(arr, n, 4, 9, 8));
// Javascript Code to find total count of an element
// in a range
// Returns count of element in arr[left-1..right-1]
function findFrequency(arr,n,left,right,element)
{
let count = 0;
for (let i = left - 1; i < right; ++i)
if (arr[i] == element)
++count;
return count;
}
/* Driver program to test above function */
let arr=[2, 8, 6, 9, 8, 6, 8, 2, 11];
let n = arr.length;
// Print frequency of 2 from position 1 to 6
console.log("Frequency of 2 from 1 to 6 = " +
findFrequency(arr, n, 1, 6, 2));
// Print frequency of 8 from position 4 to 9
console.log("Frequency of 8 from 4 to 9 = " +
findFrequency(arr, n, 4, 9, 8));
Output
Frequency of 2 from 1 to 6 = 1 Frequency of 8 from 4 to 9 = 2
Complexity Analysis:
- Time complexity of this approach is O(right - left + 1) or O(n)
- Auxiliary space: O(1)
Please refer complete article on Range Queries for Frequencies of array elements for more details!