What is the goal of the Non Overlapping Intervals Minimum Removal problem?
To find the minimum number of intervals to remove from a list so that the remaining intervals do not overlap.
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intermediate
Which greedy strategy is commonly used to solve the Non Overlapping Intervals Minimum Removal problem?
Sort intervals by their end time and iteratively select intervals that start after the last selected interval ends.
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intermediate
Why do we sort intervals by their end time in this problem?
Sorting by end time helps to maximize the number of non-overlapping intervals by always choosing the interval that finishes earliest.
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beginner
What does the minimum removal count equal in terms of total intervals and selected intervals?
Minimum removal = Total intervals - Maximum number of non-overlapping intervals selected.
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beginner
In TypeScript, what is the type signature of the function solving this problem if intervals are given as an array of [start, end] pairs?
function eraseOverlapIntervals(intervals: number[][]): number
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What is the first step in the greedy approach to solve the Non Overlapping Intervals Minimum Removal problem?
ASort intervals by their start time
BSort intervals by their end time
CRemove intervals with the longest duration first
DSelect intervals randomly
✗ Incorrect
Sorting intervals by their end time allows us to pick intervals that finish earliest, maximizing non-overlapping intervals.
If intervals are [[1,3],[2,4],[3,5]], what is the minimum number of intervals to remove to avoid overlap?
A1
B2
C0
D3
✗ Incorrect
Removing [2,4] leaves [1,3] and [3,5] which do not overlap.
What does the variable 'count' usually represent in the solution code?
ANumber of intervals removed
BSum of interval lengths
CTotal number of intervals
DNumber of intervals selected without overlap
✗ Incorrect
'count' tracks how many intervals are selected that do not overlap.
Which data structure is primarily used to store intervals in this problem?
AHash map
BLinked list
CArray of arrays
DStack
✗ Incorrect
Intervals are stored as arrays of two numbers representing start and end times.
What is the time complexity of the greedy solution after sorting?
AO(n log n)
BO(n^2)
CO(n)
DO(log n)
✗ Incorrect
Sorting takes O(n log n), and the single pass to select intervals is O(n), so overall O(n log n).
Explain the greedy approach to solve the Non Overlapping Intervals Minimum Removal problem step-by-step.
Think about how choosing intervals that finish earliest helps.
You got /4 concepts.
Describe how to implement the solution in TypeScript including sorting and counting non-overlapping intervals.
Focus on array methods and simple loop logic.
You got /5 concepts.
Practice
(1/5)
1. What is the main goal of the Non Overlapping Intervals Minimum Removal problem?
easy
A. To remove the minimum number of intervals so that the remaining intervals do not overlap
B. To find the maximum number of overlapping intervals
C. To merge all intervals into one large interval
D. To sort intervals by their start time
Solution
Step 1: Understand the problem goal
The problem asks to remove as few intervals as possible so that no two intervals overlap.
Step 2: Clarify what non-overlapping means
Non-overlapping means intervals do not share any common points except possibly touching ends.
Final Answer:
To remove the minimum number of intervals so that the remaining intervals do not overlap -> Option A
Quick Check:
Minimum removal = non-overlapping intervals [OK]
Hint: Focus on removing intervals, not merging or counting overlaps [OK]
Common Mistakes:
Thinking the goal is to merge intervals
Confusing maximum overlap with minimum removal
Sorting intervals without removing any
2. Which of the following TypeScript function signatures correctly represents a function to solve the Non Overlapping Intervals Minimum Removal problem?
easy
A. function eraseOverlapIntervals(intervals: string[][]): string
B. function eraseOverlapIntervals(intervals: number[]): number[]
C. function eraseOverlapIntervals(intervals: number[][]): number
D. function eraseOverlapIntervals(intervals: number[][]): void
Solution
Step 1: Identify input and output types
The input is an array of intervals, each interval is an array of two numbers. The output is the count of intervals removed, a number.
Step 2: Match the correct signature
function eraseOverlapIntervals(intervals: number[][]): number matches input as number[][] and output as number, which fits the problem.
Final Answer:
function eraseOverlapIntervals(intervals: number[][]): number -> Option C
Quick Check:
Input array of number arrays, output number [OK]
Hint: Input is array of number pairs, output is a number count [OK]
Common Mistakes:
Using wrong input type like number[] instead of number[][]
Returning array instead of number
Using void return type
3. What is the output of the following TypeScript code?
function eraseOverlapIntervals(intervals: number[][]): number {
intervals.sort((a, b) => a[1] - b[1]);
let count = 0;
let end = -Infinity;
for (const interval of intervals) {
if (interval[0] >= end) {
end = interval[1];
} else {
count++;
}
}
return count;
}
console.log(eraseOverlapIntervals([[1,2],[2,3],[3,4],[1,3]]));
Hint: Sort by end, count intervals starting before current end [OK]
Common Mistakes:
Not sorting intervals by end time
Counting intervals incorrectly when start equals end
Confusing count of removals with count of intervals kept
4. Identify the bug in this TypeScript function for minimum interval removal:
function eraseOverlapIntervals(intervals: number[][]): number {
intervals.sort((a, b) => a[0] - b[0]);
let count = 0;
let end = intervals[0][1];
for (let i = 1; i < intervals.length; i++) {
if (intervals[i][0] < end) {
count++;
} else {
end = intervals[i][1];
}
}
return count;
}
medium
A. Initializing end with intervals[0][0] instead of intervals[0][1]
B. Sorting intervals by start time instead of end time causes incorrect removals
C. Loop should start from i = 0 instead of i = 1
D. The function should return the count of intervals kept, not removed
Solution
Step 1: Check sorting criteria
The function sorts intervals by start time, but the greedy approach requires sorting by end time to minimize removals.
Step 2: Understand impact on removal count
Sorting by start time can cause incorrect counting of overlapping intervals, leading to wrong removal count.
Final Answer:
Sorting intervals by start time instead of end time causes incorrect removals -> Option B
Quick Check:
Sort by end time for correct minimum removal [OK]
Hint: Always sort intervals by end time for this problem [OK]
Common Mistakes:
Sorting by start time instead of end time
Wrong initialization of end variable
Incorrect loop start index
5. Given intervals [[0,2],[1,3],[2,4],[3,5],[4,6]], what is the minimum number of intervals to remove to make the rest non-overlapping?