The Uncrossed Lines interview question is a fascinating visualization of a classic sequence problem. You are given two integer arrays, nums1 and nums2. You draw lines between matching numbers in the two arrays, but there's a catch: the lines cannot intersect. Your goal is to find the maximum number of such non-crossing lines you can draw. This problem is essentially asking for the Longest Common Subsequence (LCS) between the two arrays.
Companies like Microsoft and PhonePe use the Uncrossed Lines coding problem to test a candidate's ability to recognize underlying algorithmic patterns. On the surface, it looks like a geometry or coordinate problem, but it’s actually a classic Dynamic Programming challenge. Identifying this transformation is a key sign of a senior-level problem solver.
The primary Array, Dynamic Programming interview pattern used here is the Longest Common Subsequence (LCS). We build a 2D table where dp[i][j] represents the maximum number of uncrossed lines that can be drawn using the first i elements of nums1 and the first j elements of nums2. If nums1[i] == nums2[j], we can draw a line, adding 1 to the result of the previous sub-problem (dp[i-1][j-1]). Otherwise, we take the maximum of skipping an element from either array.
Let nums1 = [1, 4, 2] and nums2 = [1, 2, 4].
1s.4s, we can't connect the 2s because the lines would cross.1s and then the 2s, the lines don't cross.The most common mistake is trying to solve this greedily—connecting the first matching pair you see. Greedy approaches fail here because connecting a pair early might block two or more other pairs that could have been connected later. Another mistake is failing to recognize that the "no crossing" rule is mathematically equivalent to preserving the relative order of elements, which is the definition of a subsequence.
Always look for "hidden" problems. If a problem describes a complex physical constraint (like lines crossing), try to translate it into a mathematical or string-based constraint. Mastering the LCS pattern is essential, as it appears in many different guises in technical interviews.
| Title | Difficulty | Topics | LeetCode |
|---|---|---|---|
| Last Stone Weight II | Medium | Solve | |
| Best Time to Buy and Sell Stock V | Medium | Solve | |
| Find the Maximum Length of Valid Subsequence I | Medium | Solve | |
| Maximum Absolute Sum of Any Subarray | Medium | Solve | |
| Maximum Subarray Sum with One Deletion | Medium | Solve |