Merge Intervals
The article discusses the problem of merging overlapping intervals, a common topic in coding interviews. It explains the optimal approach of sorting intervals and merging them in a single pass. The author provides a detailed breakdown of both brute force and optimal solutions, highlighting the importance of recognizing patterns in problem-solving.
- ▪The problem involves merging overlapping intervals from a given array.
- ▪An optimal solution requires sorting the intervals and merging them in a single linear scan.
- ▪The time complexity of the optimal approach is O(N log N) due to sorting, while the space complexity is O(N).
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3451457) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Jaspreet singh Posted on Jun 3 Merge Intervals One of the most common interval-based interview questions is Merge Intervals. At first glance, it looks like a simulation problem, but the real trick is recognizing that sorting allows us to process all overlaps in a single pass. Let's break it down.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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