使数组变美的最小增量运算数
难度:
标签:
题目描述
You are given a 0-indexed integer array nums
having length n
, and an integer k
.
You can perform the following increment operation any number of times (including zero):
- Choose an index
i
in the range[0, n - 1]
, and increasenums[i]
by1
.
An array is considered beautiful if, for any subarray with a size of 3
or more, its maximum element is greater than or equal to k
.
Return an integer denoting the minimum number of increment operations needed to make nums
beautiful.
A subarray is a contiguous non-empty sequence of elements within an array.
Example 1:
Input: nums = [2,3,0,0,2], k = 4 Output: 3 Explanation: We can perform the following increment operations to make nums beautiful: Choose index i = 1 and increase nums[1] by 1 -> [2,4,0,0,2]. Choose index i = 4 and increase nums[4] by 1 -> [2,4,0,0,3]. Choose index i = 4 and increase nums[4] by 1 -> [2,4,0,0,4]. The subarrays with a size of 3 or more are: [2,4,0], [4,0,0], [0,0,4], [2,4,0,0], [4,0,0,4], [2,4,0,0,4]. In all the subarrays, the maximum element is equal to k = 4, so nums is now beautiful. It can be shown that nums cannot be made beautiful with fewer than 3 increment operations. Hence, the answer is 3.
Example 2:
Input: nums = [0,1,3,3], k = 5 Output: 2 Explanation: We can perform the following increment operations to make nums beautiful: Choose index i = 2 and increase nums[2] by 1 -> [0,1,4,3]. Choose index i = 2 and increase nums[2] by 1 -> [0,1,5,3]. The subarrays with a size of 3 or more are: [0,1,5], [1,5,3], [0,1,5,3]. In all the subarrays, the maximum element is equal to k = 5, so nums is now beautiful. It can be shown that nums cannot be made beautiful with fewer than 2 increment operations. Hence, the answer is 2.
Example 3:
Input: nums = [1,1,2], k = 1 Output: 0 Explanation: The only subarray with a size of 3 or more in this example is [1,1,2]. The maximum element, 2, is already greater than k = 1, so we don't need any increment operation. Hence, the answer is 0.
Constraints:
3 <= n == nums.length <= 105
0 <= nums[i] <= 109
0 <= k <= 109
代码结果
运行时间: 145 ms, 内存: 30.0 MB
/*
题目思路:
使用 Java Stream API 可以更简洁地解决这个问题。通过使用 map 操作,将小于 k 的元素增加到 k,同时计算增加的次数。
*/
import java.util.Arrays;
public class Solution {
public int minIncrements(int[] nums, int k) {
return Arrays.stream(nums)
.map(num -> num < k ? k - num : 0)
.sum();
}
}
解释
方法:
这道题的解法使用了动态规划的思想。设f[i]表示使得以索引i结尾的,长度至少为3的所有子数组的最大值都至少为k的最小增量操作数。初始时,f[0]、f[1]、f[2]分别计算nums数组前三个元素与k的差值,若已经大于或等于k则为0。对于每一个后续的元素x,计算使得x大于等于k所需的增量t。然后更新f[2]为t加上前三个f中的最小值(这确保任意长度大于等于3的子数组的最大值都大于等于k),并将f[0]、f[1]向前推进一位。最终,最小的f值即为所求答案,因为它表示的是数组最后三个元素满足条件的最小操作数。
时间复杂度:
O(n)
空间复杂度:
O(1)
代码细节讲解
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如何确保动态规划数组f[i]中的值能正确表示以i结尾的所有子数组长度大于等于3时的最小增量操作数?
▷🦆
为什么在动态规划更新过程中,只需要考虑前三个f值(f0, f1, f2)?这样的更新是否能覆盖所有的子数组情况?
▷🦆
在动态规划的实现中,如果数组长度小于3,这种方法是否还适用?如何处理这种边界情况?
▷🦆
动态规划解法中使用min函数来选择最小值,这种选择机制的正确性依据是什么?
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