Description
Given a 0-indexed integer array nums of size n, find the maximum difference between nums[i] and nums[j] (i.e., nums[j] - nums[i]), such that 0 <= i < j < n and nums[i] < nums[j].
Return the maximum difference. If no such i and j exists, return -1.
Example 1:
Input: nums = [7,1,5,4] Output: 4 Explanation: The maximum difference occurs with i = 1 and j = 2, nums[j] - nums[i] = 5 - 1 = 4. Note that with i = 1 and j = 0, the difference nums[j] - nums[i] = 7 - 1 = 6, but i > j, so it is not valid.
Example 2:
Input: nums = [9,4,3,2] Output: -1 Explanation: There is no i and j such that i < j and nums[i] < nums[j].
Example 3:
Input: nums = [1,5,2,10] Output: 9 Explanation: The maximum difference occurs with i = 0 and j = 3, nums[j] - nums[i] = 10 - 1 = 9.
Constraints:
n == nums.length2 <= n <= 10001 <= nums[i] <= 109
Solutions
Solution 1: Maintaining Prefix Minimum
We use a variable mi to represent the minimum value among the elements currently being traversed, and a variable ans to represent the maximum difference. Initially, mi is set to +∞, and ans is set to -1.
Traverse the array. For the current element x, if x \gt mi, update ans to max(ans, x - mi). Otherwise, update mi to x.
After the traversal, return ans.
Time complexity is O(n), where n is the length of the array. Space complexity is O(1).
PythonJavaC++GoTypeScriptRustJavaScript
class Solution: def maximumDifference(self, nums: List[int]) -> int: mi = inf ans = -1 for x in nums: if x > mi: ans = max(ans, x - mi) else: mi = x return ans(code-box)
