動機
我們不要dp了,jojo
Problem
Given an integer array nums
, return the length of the longest strictly increasing subsequence.
A subsequence is a sequence that can be derived from an array by deleting some or no elements without changing the order of the remaining elements. For example, [3,6,2,7]
is a subsequence of the array [0,3,1,6,2,2,7]
.
Example 1:
Input: nums = [10,9,2,5,3,7,101,18]Output: 4Explanation: The longest increasing subsequence is [2,3,7,101], therefore the length is 4.
Example 2:
Input: nums = [0,1,0,3,2,3]Output: 4
Example 3:
Input: nums = [7,7,7,7,7,7,7]Output: 1
Constraints:
1 <= nums.length <= 2500
-104 <= nums[i] <= 104
Follow up: Can you come up with an algorithm that runs in O(n log(n))
time complexity?
Sol
讓可能的解在符合順序的情況下,數字越小越好 詳細看Longest Increasing Subsequence
class Solution:
def lengthOfLIS(self, nums: List[int]) -> int:
lis = [nums[0]]
for n in nums[1:]:
if lis[-1] < n:
lis.append(n)
else:
lis[bisect_left(lis,n)] = n
return len(lis)