Partition Array into Disjoint Intervals LT915

Given an array A, partition it into two (contiguous) subarrays left and right so that:

  • Every element in left is less than or equal to every element in right.
  • left and right are non-empty.
  • left has the smallest possible size.

Return the length of left after such a partitioning.  It is guaranteed that such a partitioning exists.

Example 1:

Input: [5,0,3,8,6]
Output: 3
Explanation: left = [5,0,3], right = [8,6]

Example 2:

Input: [1,1,1,0,6,12]
Output: 4
Explanation: left = [1,1,1,0], right = [6,12]

Note:

  1. 2 <= A.length <= 30000
  2. 0 <= A[i] <= 10^6
  3. It is guaranteed there is at least one way to partition A as described.

 Idea 1. max(nums[0]... nums[i]) <= min(nums[i+1],..nums[n-1]), build maxArray from left, minArray from right

Time comlexity: T(n)

Space complexity: T(n)

using index:

 1 class Solution {
 2     public int partitionDisjoint(int[] A) {
 3        int[] maxIndex = new int[A.length];
 4         for(int i = 1; i < A.length; ++i) {
 5             if(A[i] > A[maxIndex[i-1]]) {
 6                 maxIndex[i] = i;
 7             }
 8             else {
 9                 maxIndex[i] = maxIndex[i-1];
10             }
11         }
12         
13         int[] minIndex = new int[A.length];
14         minIndex[A.length-1] = A.length-1;
15         for(int i = A.length-2; i >= 0; --i) {
16             if(A[i] < A[minIndex[i+1]]) {
17                 minIndex[i] = i;
18             }
19             else {
20                 minIndex[i] = minIndex[i+1];
21             }
22         }
23         
24         for(int i = 0; i < A.length-1; ++i) {
25             if(A[maxIndex[i]] <= A[minIndex[i+1]]) {
26                 return i + 1;
27             }
28         }
29         
30         return 0;
31     }
32 }

No need to use index

扫描二维码关注公众号,回复: 5765958 查看本文章
 1 class Solution {
 2     public int partitionDisjoint(int[] A) {
 3        int[] maxFromLeft = new int[A.length];
 4         maxFromLeft[0] = A[0];
 5         for(int i = 1; i < A.length; ++i) {
 6             maxFromLeft[i] = Math.max(maxFromLeft[i-1], A[i]);
 7         }
 8         
 9         int[] minFromRight = new int[A.length];
10         minFromRight[A.length-1] = A[A.length-1];
11         for(int i = A.length-2; i >= 0; --i) {
12             minFromRight[i] = Math.min(minFromRight[i+1], A[i]);
13         }
14         
15         for(int i = 0; i < A.length-1; ++i) {
16             if(maxFromLeft[i] <= minFromRight[i+1]) {
17                 return i + 1;
18             }
19         }
20         
21         return 0;
22     }
23 }

猜你喜欢

转载自www.cnblogs.com/taste-it-own-it-love-it/p/10651001.html