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).
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/jaspreet_singh_86ae1740ac/merge-intervals-89l |
| Publication time | Wed, 03 Jun 2026 12:04:15 +0000 |
| Retrieval time | 2026-06-03T12:12:05.478Z |
| Last seen | 2026-06-03T12:12:05.478Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
