Description
You are given two positive integer arrays nums
and target
, of the same length.
In one operation, you can choose any two distinct indices i
and j
where 0 <= i, j < nums.length
and:
- set
nums[i] = nums[i] + 2
and - set
nums[j] = nums[j] - 2
.
Two arrays are considered to be similar if the frequency of each element is the same.
Return the minimum number of operations required to make nums
similar to target
. The test cases are generated such that nums
can always be similar to target
.
Example 1:
Input: nums = [8,12,6], target = [2,14,10] Output: 2 Explanation: It is possible to make nums similar to target in two operations:
- Choose i = 0 and j = 2, nums = [10,12,4].
- Choose i = 1 and j = 2, nums = [10,14,2]. It can be shown that 2 is the minimum number of operations needed.
Example 2:
Input: nums = [1,2,5], target = [4,1,3] Output: 1 Explanation: We can make nums similar to target in one operation:
- Choose i = 1 and j = 2, nums = [1,4,3].
Example 3:
Input: nums = [1,1,1,1,1], target = [1,1,1,1,1] Output: 0 Explanation: The array nums is already similiar to target.
Constraints:
n == nums.length == target.length
1 <= n <= 105
1 <= nums[i], target[i] <= 106
- It is possible to make
nums
similar totarget
.
Code
Time Complexity: , Space Complexity:
KEY:
greedy choice: for odds & evens, match it with the closest target
greedy choice 很直觀,簡單來說,如果不是和最近的去 match,就會使得 total cost 變大。