Description
You are given a 0-indexed integer array nums. You are allowed to permute nums into a new array perm of your choosing.
We define the greatness of nums be the number of indices 0 <= i < nums.length for which perm[i] > nums[i].
Return the maximum possible greatness you can achieve after permuting nums.
Example 1:
Input: nums = [1,3,5,2,1,3,1] Output: 4 Explanation: One of the optimal rearrangements is perm = [2,5,1,3,3,1,1]. At indices = 0, 1, 3, and 4, perm[i] > nums[i]. Hence, we return 4.
Example 2:
Input: nums = [1,2,3,4] Output: 3 Explanation: We can prove the optimal perm is [2,3,4,1]. At indices = 0, 1, and 2, perm[i] > nums[i]. Hence, we return 3.
Constraints:
1 <= nums.length <= 1050 <= nums[i] <= 109
Solutions
Solution 1: Greedy
We can sort the array nums first.
Then we define a pointer i pointing to the first element of the array nums. We traverse the array nums, and for each element x we encounter, if x is greater than nums[i], then we move the pointer i to the right.
Finally, we return the value of the pointer i.
The time complexity is O(n × log n), and the space complexity is O(log n), where n is the length of the array nums.
PythonJavaC++GoTypeScript
class Solution: def maximizeGreatness(self, nums: List[int]) -> int: nums.sort() i = 0 for x in nums: i += x > nums[i] return i(code-box)
