Given an array of integers, this problem aims to find the length of the longest increasing subsequence in the array. For example, given the input array [10, 9, 2, 5 , 3, 7, 101, 18], the output should be 4, as the longest increasing subsequence in the array is [2, 3, 7, 101]. This problem can be solved using dynamic programming, and the time complexity of the solution is O(n^2).
The candidate's solution is correct and uses dynamic programming to solve the problem. However, the solution is not very efficient because it uses two for loops.
Evaluated at: 2022-12-05 00:15:45