You are given a 0-indexed array arr
consisting of n
positive integers, and a positive integer k
.
The array arr
is called K-increasing if arr[i-k] <= arr[i]
holds for every index i
, where k <= i <= n-1
.
- For example,
arr = [4, 1, 5, 2, 6, 2]
is K-increasing fork = 2
because:<ul> <li><code>arr[0] <= arr[2] (4 <= 5)</code></li> <li><code>arr[1] <= arr[3] (1 <= 2)</code></li> <li><code>arr[2] <= arr[4] (5 <= 6)</code></li> <li><code>arr[3] <= arr[5] (2 <= 2)</code></li> </ul> </li> <li>However, the same <code>arr</code> is not K-increasing for <code>k = 1</code> (because <code>arr[0] > arr[1]</code>) or <code>k = 3</code> (because <code>arr[0] > arr[3]</code>).</li>
In one operation, you can choose an index i
and change arr[i]
into any positive integer.
Return the minimum number of operations required to make the array K-increasing for the given k
.
Example 1:
Input: arr = [5,4,3,2,1], k = 1 Output: 4 Explanation: For k = 1, the resultant array has to be non-decreasing. Some of the K-increasing arrays that can be formed are [5,6,7,8,9], [1,1,1,1,1], [2,2,3,4,4]. All of them require 4 operations. It is suboptimal to change the array to, for example, [6,7,8,9,10] because it would take 5 operations. It can be shown that we cannot make the array K-increasing in less than 4 operations.
Example 2:
Input: arr = [4,1,5,2,6,2], k = 2 Output: 0 Explanation: This is the same example as the one in the problem description. Here, for every index i where 2 <= i <= 5, arr[i-2] <= arr[i]. Since the given array is already K-increasing, we do not need to perform any operations.
Example 3:
Input: arr = [4,1,5,2,6,2], k = 3 Output: 2 Explanation: Indices 3 and 5 are the only ones not satisfying arr[i-3] <= arr[i] for 3 <= i <= 5. One of the ways we can make the array K-increasing is by changing arr[3] to 4 and arr[5] to 5. The array will now be [4,1,5,4,6,5]. Note that there can be other ways to make the array K-increasing, but none of them require less than 2 operations.
Constraints:
1 <= arr.length <= 105
1 <= arr[i], k <= arr.length
Similar Questions:
Split the numbers in A
into k
groups: [0, k, 2k, 3k, ...]
, [1, 1+k, 1+2k, 1+3k, ...]
, ...
Compute the minimum operations needed to make a group non-decreasing. Assume the Longest Increasing Subsequence (LIS) of this group is of length t
, and the group is of length len
, then the minimum operations needed is len - t
.
Computing the length of LIS is a classic problem that can be solved using binary search. See 300. Longest Increasing Subsequence (Medium)
The answer is the sum of minimum operations for all the groups.
// OJ: https://leetcode.com/problems/minimum-operations-to-make-the-array-k-increasing/
// Author: github.com/lzl124631x
// Time: O(Nlog(N/k))
// Space: O(N/k)
class Solution {
public:
int kIncreasing(vector<int>& A, int k) {
int N = A.size(), ans = 0;
for (int i = 0; i < k; ++i) { // handle each group separately
vector<int> lis{A[i]}; // the longest non-decreasing subsequence of this group
int len = 1; // the length of this group
for (int j = i + k; j < N; j += k, ++len) {
auto i = upper_bound(begin(lis), end(lis), A[j]);
if (i == end(lis)) lis.push_back(A[j]);
else *i = A[j];
}
ans += len - lis.size();
}
return ans;
}
};