Given an array of integers
A
and let n to be its length.
Assume
Bk
to be an array obtained by rotating the array A
k positions clock-wise, we define a "rotation function" F
on A
as follow:F(k) = 0 * Bk[0] + 1 * Bk[1] + ... + (n-1) * Bk[n-1]
.
Calculate the maximum value of
F(0), F(1), ..., F(n-1)
.
Note:
n is guaranteed to be less than 105.
n is guaranteed to be less than 105.
Example:
A = [4, 3, 2, 6] F(0) = (0 * 4) + (1 * 3) + (2 * 2) + (3 * 6) = 0 + 3 + 4 + 18 = 25 F(1) = (0 * 6) + (1 * 4) + (2 * 3) + (3 * 2) = 0 + 4 + 6 + 6 = 16 F(2) = (0 * 2) + (1 * 6) + (2 * 4) + (3 * 3) = 0 + 6 + 8 + 9 = 23 F(3) = (0 * 3) + (1 * 2) + (2 * 6) + (3 * 4) = 0 + 2 + 12 + 12 = 26 So the maximum value of F(0), F(1), F(2), F(3) is F(3) = 26.
Solution:
Example: A = [A, B, C, D]
F(0) = 0A + 1B + 2C + 3D
F(1) = 3A + 0B + 1C + 2D
F(2) = 2A + 3B + 0C + 1D
F(3) = 1A + 2B + 3C + 0D
We can see
F(1) - F(0) = 4A - A - B - C - D = 4A - sum
F(2) - F(1) = 4B - A - B - C - D = 4B - sum
F(3) - F(2) = 4C - sum
Therefore,
F(k) = F(k - 1) - sum + n x A[i - 1]
The time complexity is O(n) and the space complexity is O(1).
Code:
public class Solution { public int maxRotateFunction(int[] A) { int n = A.length; int sum = 0; int F = 0; for (int i = 0; i < n; i++) { sum += A[i]; F += i * A[i]; } int max = F; for (int i = 1; i < n; i++) { F = F - sum + n * A[i - 1]; max = Math.max(max, F); } return max; } }