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Merge Intervals: Simplifying Overlapping Ranges

Jan 7, 2024 · Solving the Merge Intervals problem using sorting and merging techniques to combine overlapping intervals into a minimal set of non-overlapping intervals.

The "Merge Intervals" problem is a fundamental challenge in array manipulation, involving the combination of overlapping intervals into a minimal set of non-overlapping intervals.

Problem Statement

Given an array of intervals where each interval is represented as a pair [start, end], merge all overlapping intervals, and return an array of the non-overlapping intervals that cover all the intervals in the input.

Example

  • Input: Intervals [[1,3],[2,6],[8,10],[15,18]] Output: [[1,6],[8,10],[15,18]] Explanation: Since intervals [1,3] and [2,6] overlap, they are merged into [1,6].

Solution Approach

javascript

Breaking Down the Solution


  • Sort Intervals: First, sort the intervals based on their starting points.
  • Initialize Merged List: Start with the first interval in the merged list.
  • Iterate and Merge: Go through each interval and merge it with the last interval in the merged list if they overlap. If they don't overlap, add the interval to the merged list.
  • Return Merged Intervals: The merged list now contains the minimal set of non-overlapping intervals.

Conclusion


The Merge Intervals problem is a classic example of interval manipulation and is critical in many applications, such as calendar events, scheduling algorithms, and time-based data analysis. It emphasizes the importance of sorting and efficient merging in array processing.

Rust Solution

rust

merged.last_mut() hands back a mutable reference to the final interval wrapped in Some, so the if let Some(last) binding lets last[1] = last[1].max(interval[1]) edit the stored interval in place and continue skips the push once a merge lands. The parameter is rebound with let mut intervals = intervals to make the moved Vec<Vec<i32>> mutable for sort_by_key(|a| a[0]). Because for interval in intervals iterates by value, each merged.push(interval) moves ownership into the result rather than cloning.

Go Solution

go

Go's inner []int is a slice header over a shared backing array, so last := merged[len(merged)-1] aliases the last stored interval and last[1] = curr[1] mutates it in place — no write back into merged is needed. sort.Slice sorts with a less-func comparator, func(i, j int) bool, rather than a sort key. Fresh intervals are added with merged = append(merged, curr), which reassigns the slice header, while the empty-input guard returns an explicit [][]int{} literal.

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