674. Longest Continuous Increasing Subsequence
Given an unsorted array of integers nums
, return the length of the longest continuous increasing subsequence (i.e. subarray). The subsequence must be strictly increasing.
A continuous increasing subsequence is defined by two indices l
and r
(l < r
) such that it is [nums[l], nums[l + 1], ..., nums[r - 1], nums[r]]
and for each l <= i < r
, nums[i] < nums[i + 1]
.
Example 1:
Input: nums = [1,3,5,4,7]
Output: 3
Explanation: The longest continuous increasing subsequence is [1,3,5] with length 3.
Even though [1,3,5,7] is an increasing subsequence, it is not continuous as elements 5 and 7 are separated by element
4.
Example 2:
Input: nums = [2,2,2,2,2]
Output: 1
Explanation: The longest continuous increasing subsequence is [2] with length 1. Note that it must be strictly
increasing.
Constraints:
1 <= nums.length <= 104
-109 <= nums[i] <= 109
My Solutions:
public int findLengthOfLCIS(int[] nums) {
if (nums == null || nums.length == 0) return 0;
int max = 1, index = 0; // index 表示连续递增的第一个数字所在的位置
for (int i = 1; i < nums.length; i++) {
if (nums[i] > nums[i - 1]) {
max = Math.max(max, i - index + 1);
} else {
index = i;
}
}
return max;
}
Last updated