Intervals often represent ranges of values or time. Why do many algorithm problems use intervals as a core concept?
Think about how intervals represent real-world things like meeting times or ranges.
Intervals represent continuous ranges and often overlap, which models many real-world problems like scheduling or resource allocation.
What is the output of merging these intervals?
intervals = [[1,3],[2,6],[8,10],[15,18]] # After merging overlapping intervals, what is the resulting list?
Look for intervals that overlap and combine their ranges.
The intervals [1,3] and [2,6] overlap, so they merge into [1,6]. The others remain separate.
What error does this code produce when inserting a new interval?
def insert_interval(intervals, new_interval): result = [] i = 0 while i < len(intervals) and intervals[i][1] < new_interval[0]: result.append(intervals[i]) i += 1 while i < len(intervals) and intervals[i][0] <= new_interval[1]: new_interval[0] = min(new_interval[0], intervals[i][0]) new_interval[1] = max(new_interval[1], intervals[i][1]) i += 1 result.append(new_interval) result.extend(intervals[i:]) return result intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]] new_interval = [4,8] print(insert_interval(intervals, new_interval))
Check how overlapping intervals are merged and appended.
The code merges intervals overlapping with [4,8] into [3,10], then appends the rest. So output is [[1,2],[3,10],[12,16]].
Which of these dictionary comprehensions for intervals causes a syntax error?
intervals = [(1,3),(2,4),(5,7)]
Check the placement of the if condition in the comprehension syntax.
Option A places the if condition incorrectly inside the value expression, causing a syntax error.
Given intervals [[1,4],[2,5],[7,9],[3,6]], what is the maximum number of intervals overlapping at any point?
Visualize the intervals on a number line and count overlaps.
Intervals [1,4], [2,5], and [3,6] overlap between 3 and 4, so maximum overlap is 3.
