This question is the same as "Max Chunks to Make Sorted" except the integers of the given array are not necessarily distinct, the input array could be up to length
2000
, and the elements could be up to10**8
.
Given an array
arr
of integers (not necessarily distinct), we split the array into some number of "chunks" (partitions), and individually sort each chunk. After concatenating them, the result equals the sorted array.What is the most number of chunks we could have made?
Example 1:
Input: arr = [5,4,3,2,1]
Output: 1
Explanation:
Splitting into two or more chunks will not return the required result.
For example, splitting into [5, 4], [3, 2, 1] will result in [4, 5, 1, 2, 3], which isn't sorted.Example 2:
Input: arr = [2,1,3,4,4]
Output: 4
Explanation:
We can split into two chunks, such as [2, 1], [3, 4, 4].
However, splitting into [2, 1], [3], [4], [4] is the highest number of chunks possible.
Note:
arr
will have length in range[1, 2000]
.arr[i]
will be an integer in range[0, 10**8]
.
Approach #1: Array. [Java]
class Solution {
public int maxChunksToSorted(int[] arr) {
int n = arr.length; int[] maxOfLeft = new int[n];
int[] minOfRight = new int[n]; maxOfLeft[0] = arr[0];
for (int i = 1; i < n; ++i)
maxOfLeft[i] = Math.max(maxOfLeft[i-1], arr[i]); minOfRight[n-1] = arr[n-1];
for (int i = n-2; i >= 0; --i)
minOfRight[i] = Math.min(minOfRight[i+1], arr[i]); int res = 0;
for (int i = 0; i < n-1; ++i)
if (maxOfLeft[i] <= minOfRight[i+1])
res++; return res+1;
}
}
Analysis:
Iterate through the array, each time all elements to the left are smaller (or equal) to all elements to the right, there is a new chunck.
Use two arrys to store the left max and right min to achieve O(n) time complexity. Space complexity is O(n) too.
This algorithm can be used to solve verl too.
Reference: