Solution: Interval List Intersections

Explore the process of finding intersections between two sorted interval lists. Understand both naive and optimized approaches, focusing on pointer iteration and comparison to efficiently compute overlapping intervals with a time complexity of O(n + m). This lesson helps you implement these strategies in Go to handle interval intersection problems effectively.

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Statement
Solution
- Naive approach
- Optimized approach using intervals

Statement

Given two lists of closed intervalsA closed interval [start, end] (with start <= end) includes all real numbers x such that start <= x <= end., intervalListA and intervalListB, return the intersection of the two interval lists.

Each interval in the lists has its own start and end time and is represented as [start, end]. Specifically:

intervalListA[i] = [start_i, end_i]
intervalListB[j] = [start_j, end_j]

The intersection of two closed intervals i and j is either:

An empty set, if they do not overlap, or
A closed interval [max(start_i, start_j), min(end_i, end_j)] if they do overlap.

Also, each list of intervals is pairwise disjoint and in sorted order.

Constraints:

$0 \leq$ ...