Given an array of n integers. You are given q queries. Write a program to print the floor value of mean in range l to r for each query in a new line.
Examples :
Input : arr[] = {1, 2, 3, 4, 5} q = 3 0 2 1 3 0 4 Output : 2 3 3 Here for 0 to 2 (1 + 2 + 3) / 3 = 2 Input : arr[] = {6, 7, 8, 10} q = 2 0 3 1 2 Output : 7 7
Naive Approach: We can run loop for each query l to r and find sum and number of elements in range. After this we can print floor of mean for each query.
Javascript
<script> // Javascript program to find floor value // of mean in range l to r // To find mean of range in l to r function findMean(arr, l, r) { // Both sum and count are // initialize to 0 let sum = 0, count = 0; // To calculate sum and number // of elements in range l to r for (let i = l; i <= r; i++) { sum += arr[i]; count++; } // Calculate floor value of mean let mean = Math.floor(sum / count); // Returns mean of array // in range l to r return mean; } let arr = [ 1, 2, 3, 4, 5 ]; document.write(findMean(arr, 0, 2) + "</br>" ); document.write(findMean(arr, 1, 3) + "</br>" ); document.write(findMean(arr, 0, 4) + "</br>" ); </script> |
Output :
2 3 3
Time complexity: O(n*q) where q is the number of queries and n is the size of the array. Here in the above code q is 3 as the findMean function is used 3 times.
Auxiliary Space: O(1)
Efficient Approach: We can find sum of numbers using numbers using prefix sum. The prefixSum[i] denotes the sum of first i elements. So sum of numbers in range l to r will be prefixSum[r] – prefixSum[l-1]. Number of elements in range l to r will be r – l + 1. So we can now print mean of range l to r in O(1).
Javascript
<script> // Javascript program to find floor value // of mean in range l to r let MAX = 1000005; let prefixSum = new Array(MAX); prefixSum.fill(0); // To calculate prefixSum of array function calculatePrefixSum(arr, n) { // Calculate prefix sum of array prefixSum[0] = arr[0]; for (let i = 1; i < n; i++) prefixSum[i] = prefixSum[i - 1] + arr[i]; } // To return floor of mean // in range l to r function findMean(l, r) { if (l == 0) return parseInt(Math.floor(prefixSum[r] / (r + 1)), 10); // Sum of elements in range l to // r is prefixSum[r] - prefixSum[l-1] // Number of elements in range // l to r is r - l + 1 return parseInt(Math.floor((prefixSum[r] - prefixSum[l - 1]) / (r - l + 1)), 10); } // Driver code let arr = [ 1, 2, 3, 4, 5 ]; let n = arr.length; calculatePrefixSum(arr, n); document.write(findMean(1, 2) + "</br>" ); document.write(findMean(1, 3) + "</br>" ); document.write(findMean(1, 4) + "</br>" ); // This code is contributed by divyeshrabadiya07 </script> |
Output:
2 3 3
Time complexity: O(n+q) where q is the number of queries and n is the size of the array. Here in the above code q is 3 as the findMean function is used 3 times.
Auxiliary Space: O(k) where k=1000005.
Please refer complete article on Mean of range in array for more details!