Given an array arr consisting of N elements and Q queries of the following two types:
- 1 K: For this type of query, the array needs to be rotated by K indices anticlockwise from its current state.
- 2 L R: For this query, the sum of the array elements present in the indices [L, R] needs to be calculated.
Example:
Input: arr = { 1, 2, 3, 4, 5, 6 }, query = { {2, 1, 3}, {1, 3}, {2, 0, 3}, {1, 4}, {2, 3, 5} }
Output:
9
16
12
Explanation:
For the 1st query {2, 1, 3} -> Sum of the elements in the indices [1, 3] = 2 + 3 + 4 = 9.
For the 2nd query {1, 3} -> Modified array after anti-clockwise rotation by 3 places is { 4, 5, 6, 1, 2, 3 }
For the 3rd query {2, 0, 3} -> Sum of the elements in the indices [0, 3] = 4 + 5 + 6 + 1 = 16.
For the 4th query {1, 4} -> Modified array after anti-clockwise rotation by 4 places is { 2, 3, 4, 5, 6, 1 }
For the 5th query {2, 3, 5} -> Sum of the elements in the indices [3, 5] = 5 + 6 + 1 = 12.
Approach:
- Create a prefix array which is double the size of the arr and copy the element at the ith index of arr to ith and N + ith index of prefix for all i in [0, N).
- Precompute the prefix sum for every index of that array and store in prefix.
- Set the pointer start at 0 to denote the starting index of the initial array.
- For query of type 1, shift start to
((start + K) % N)th position
- For query of type 2, calculate
prefix[start + R] - prefix[start + L- 1 ]
- if start + L >= 1 then print the value of
prefix[start + R]
Below code is the implementation of the above approach:
// Java program to calculate range sum // queries for anticlockwise // rotations of array by K class GFG{
// Function to execute the queries static void rotatedSumQuery( int arr[], int n,
int [][]query, int Q)
{ // Construct a new array
// of size 2*N to store
// prefix sum of every index
int []prefix = new int [ 2 * n];
// Copy elements to the new array
for ( int i = 0 ; i < n; i++)
{
prefix[i] = arr[i];
prefix[i + n] = arr[i];
}
// Calculate the prefix sum
// for every index
for ( int i = 1 ; i < 2 * n; i++)
prefix[i] += prefix[i - 1 ];
// Set start pointer as 0
int start = 0 ;
for ( int q = 0 ; q < Q; q++)
{
// Query to perform
// anticlockwise rotation
if (query[q][ 0 ] == 1 )
{
int k = query[q][ 1 ];
start = (start + k) % n;
}
// Query to answer range sum
else if (query[q][ 0 ] == 2 )
{
int L, R;
L = query[q][ 1 ];
R = query[q][ 2 ];
// If pointing to 1st index
if (start + L == 0 )
// Display the sum upto start + R
System.out.print(prefix[start + R] + "
"); else
// Subtract sum upto start + L - 1
// from sum upto start + R
System.out.print(prefix[start + R] -
prefix[start + L - 1 ] +
"
"); }
}
} // Driver code public static void main(String[] args)
{ int arr[] = { 1 , 2 , 3 , 4 , 5 , 6 };
// Number of query
int Q = 5 ;
// Store all the queries
int [][]query = { { 2 , 1 , 3 },
{ 1 , 3 },
{ 2 , 0 , 3 },
{ 1 , 4 },
{ 2 , 3 , 5 } };
int n = arr.length;
rotatedSumQuery(arr, n, query, Q);
} } // This code is contributed by Rohit_ranjan |
9 16 12
Time Complexity: O(Q), where Q is the number of queries, and as each query will cost O (1) time for Q queries time complexity would be O(Q).
Auxiliary Space: O(N), as we are using extra space for prefix.
Please refer complete article on Range sum queries for anticlockwise rotations of Array by K indices for more details!