Merge Overlapping Intervals in DSA Java - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of the Merge Overlapping Intervals algorithm?

To combine all intervals that overlap into a single continuous interval, so that no intervals in the result overlap.

beginner

Why do we sort intervals by their start time before merging?

Sorting by start time helps us easily find overlapping intervals by comparing each interval with the previous merged interval.

beginner

In the Merge Overlapping Intervals algorithm, what do you do when the current interval does NOT overlap with the last merged interval?

You add the current interval as a new separate interval in the merged list because it does not overlap.

beginner

What happens when the current interval overlaps with the last merged interval?

You merge them by updating the end of the last merged interval to the maximum end of both intervals.

intermediate

What is the time complexity of the Merge Overlapping Intervals algorithm and why?

O(n log n) because sorting the intervals takes O(n log n) time, and merging them in one pass takes O(n) time.

What is the first step in merging overlapping intervals?

A Sort intervals by their start time

B Sort intervals by their end time

C Reverse the intervals

D Remove all intervals

Sorting intervals by their start time helps to easily detect overlaps in one pass.

If interval A is [1, 5] and interval B is [6, 8], what should you do when merging?

A Keep both intervals separate

B Merge into [1, 8]

C Discard interval B

D Discard interval A

Since [1, 5] and [6, 8] do not overlap, both intervals remain separate.

When two intervals overlap, how do you update the merged interval?

A Remove the merged interval

B Set end to minimum of both ends

C Set start to maximum of both starts

D Set end to maximum of both ends

The merged interval's end is the maximum end to cover both intervals.

What data structure is commonly used to store merged intervals during the process?

A Stack

B Queue

C List or ArrayList

D HashMap

A list or ArrayList is used to store merged intervals in order.

What is the overall time complexity of the Merge Overlapping Intervals algorithm?

A O(n)

B O(n log n)

C O(log n)

D O(n^2)

Sorting takes O(n log n), merging takes O(n), so total is O(n log n).

Explain step-by-step how to merge overlapping intervals given a list of intervals.

Think about sorting first, then checking overlaps one by one.

Describe why sorting intervals is important before merging and what could go wrong if you skip sorting.

Consider how unordered intervals affect overlap detection.

Practice

1. What is the main purpose of merging overlapping intervals in a list of intervals?

easy

A. To combine intervals that overlap into a single continuous interval

B. To sort intervals by their length

C. To remove all intervals that have the same start point

D. To find the interval with the maximum end value

Solution

1. Step 1: Understand overlapping intervals

   Overlapping intervals share some common range, so merging combines them into one continuous interval.

2. Step 2: Purpose of merging

   Merging reduces multiple overlapping intervals into fewer intervals without overlaps, simplifying the list.

3. Final Answer:

   To combine intervals that overlap into a single continuous interval -> Option A

4. Quick Check:

   Merging = Combine overlaps [OK]

Hint: Merging means joining overlapping intervals into one [OK]

Common Mistakes:

• Thinking merging sorts intervals by length
• Confusing merging with removing duplicates
• Assuming merging finds max end only

2. Which of the following Java code snippets correctly sorts a list of intervals by their start time before merging?

easy

A. Collections.sort(intervals, (a, b) -> a.start - b.start);

B. intervals.sort((a, b) -> b.start - a.start);

C. Collections.sort(intervals, (a, b) -> a.end - b.end);

D. intervals.sort((a, b) -> a.length() - b.length());

Solution

1. Step 1: Identify sorting by start time ascending

   We need to sort intervals by their start value in ascending order for merging.

2. Step 2: Check each option

   Collections.sort(intervals, (a, b) -> a.start - b.start); sorts by start ascending correctly. intervals.sort((a, b) -> b.start - a.start); sorts descending. Collections.sort(intervals, (a, b) -> a.end - b.end); sorts by end, not start. intervals.sort((a, b) -> a.length() - b.length()); sorts by length, which is incorrect.

3. Final Answer:

   Collections.sort(intervals, (a, b) -> a.start - b.start); -> Option A

4. Quick Check:

   Sort by start ascending = Collections.sort(intervals, (a, b) -> a.start - b.start); [OK]

Hint: Sort intervals by start ascending before merging [OK]

Common Mistakes:

• Sorting by end time instead of start time
• Sorting in descending order
• Sorting by interval length

3. What is the output of the following Java code that merges overlapping intervals?

List<Interval> intervals = List.of(new Interval(1,3), new Interval(2,6), new Interval(8,10), new Interval(15,18));
List<Interval> merged = mergeIntervals(intervals);
for (Interval i : merged) {
    System.out.print("[" + i.start + "," + i.end + "] ");
}

Assume mergeIntervals merges intervals correctly.

medium

A. [1,3] [2,6] [8,10] [15,18]

B. [1,6] [2,6] [8,10] [15,18]

C. [1,6] [8,10] [15,18]

D. [1,3] [8,10] [15,18]

Solution

1. Step 1: Identify overlapping intervals

   Intervals (1,3) and (2,6) overlap, so they merge into (1,6). Others do not overlap.

2. Step 2: List merged intervals

   Merged list is (1,6), (8,10), (15,18).

3. Final Answer:

   [1,6] [8,10] [15,18] -> Option C

4. Quick Check:

   Merged intervals = [1,6] [8,10] [15,18] [OK]

Hint: Merge overlapping intervals by extending end time [OK]

Common Mistakes:

• Not merging overlapping intervals
• Printing original intervals without merge
• Merging incorrectly leaving duplicates

4. Identify the bug in this Java method that merges intervals:

public List<Interval> mergeIntervals(List<Interval> intervals) {
    Collections.sort(intervals, (a, b) -> a.start - b.start);
    List<Interval> merged = new ArrayList<>();
    for (Interval interval : intervals) {
        if (merged.isEmpty() || merged.get(merged.size() - 1).end < interval.start) {
            merged.add(interval);
        } else {
            merged.get(merged.size() - 1).end = interval.end;
        }
    }
    return merged;
}

medium

A. It sorts intervals by end instead of start

B. It does not update the end to the max of overlapping intervals

C. It adds intervals even if they overlap

D. It returns the original list instead of merged list

Solution

1. Step 1: Check merging logic

   When intervals overlap, the code sets end to interval.end directly, which may be smaller than current end.

2. Step 2: Correct approach

   It should update end to max of current end and interval.end to cover full overlap.

3. Final Answer:

   It does not update the end to the max of overlapping intervals -> Option B

4. Quick Check:

   Update end = max(end, interval.end) needed [OK]

Hint: Update merged end to max of overlapping ends [OK]

Common Mistakes:

• Setting end to interval.end without max check
• Sorting by wrong field
• Adding overlapping intervals separately

5. Given a list of intervals where some intervals are nested inside others, how does the merge overlapping intervals algorithm handle nested intervals like [(1,10), (2,5), (6,9)]? What is the final merged list?

hard

A. [(2,5), (6,9)]

B. [(1,5), (6,9), (10,10)]

C. [(1,5), (6,10)]

D. [(1,10)]

Solution

1. Step 1: Analyze nested intervals

   Intervals (2,5) and (6,9) are fully inside (1,10), so they overlap completely.

2. Step 2: Merge nested intervals

   Merging results in a single interval (1,10) covering all nested intervals.

3. Final Answer:

   [(1,10)] -> Option D

4. Quick Check:

   Nested intervals merge into outer interval [OK]

Hint: Nested intervals merge into the largest containing interval [OK]

Common Mistakes:

• Keeping nested intervals separate
• Splitting outer interval incorrectly
• Ignoring full overlap cases