Recursion & DP Target: 15s
dp[i] = length of longest increasing subsequence ending at index i. Classic O(n²) DP.
def lengthOfLIS(nums):
n = len(nums)
dp = [1] * n # each element is a subsequence of length 1
for i in range(1, n):
for j in range(i):
if nums[j] < nums[i]:
dp[i] = max(dp[i], dp[j] + 1)
return max(dp)
Type it from memory. Go.