Insert Interval into Sorted List in DSA Java - Time & Space Complexity

Time Complexity: Insert Interval into Sorted List

O(n)

Understanding Time Complexity

We want to know how the time to insert a new interval into a sorted list grows as the list gets bigger.

Specifically, how many steps does it take to find the right place and merge intervals if needed?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

public List<int[]> insertInterval(List<int[]> intervals, int[] newInterval) {
    List<int[]> result = new ArrayList<>();
    int i = 0;
    while (i < intervals.size() && intervals.get(i)[1] < newInterval[0]) {
        result.add(intervals.get(i++));
    }
    while (i < intervals.size() && intervals.get(i)[0] <= newInterval[1]) {
        newInterval[0] = Math.min(newInterval[0], intervals.get(i)[0]);
        newInterval[1] = Math.max(newInterval[1], intervals.get(i)[1]);
        i++;
    }
    result.add(newInterval);
    while (i < intervals.size()) {
        result.add(intervals.get(i++));
    }
    return result;
}
    

This code inserts a new interval into a sorted list of intervals and merges overlapping ones.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Three while loops that each traverse parts of the intervals list.
• How many times: Each loop runs over a portion of the list without overlap, together covering all intervals once.

How Execution Grows With Input

As the number of intervals grows, the code checks each interval at most once.

Input Size (n)	Approx. Operations
10	About 10 checks and merges
100	About 100 checks and merges
1000	About 1000 checks and merges

Pattern observation: The number of steps grows roughly in direct proportion to the number of intervals.

Final Time Complexity

Time Complexity: O(n)

This means the time to insert and merge grows linearly with the number of intervals.

Common Mistake

[X] Wrong: "Since the list is sorted, we can insert the interval in constant time without checking others."

[OK] Correct: Even though the list is sorted, we must check for overlapping intervals to merge, which requires scanning parts of the list.

Interview Connect

Understanding how to efficiently insert and merge intervals shows your skill in handling sorted data and edge cases, a common real-world need.

Self-Check

"What if the intervals list was not sorted? How would the time complexity change?"

Practice

1. What is the main goal when inserting a new interval into a sorted list of non-overlapping intervals?

easy

A. Merge the new interval with overlapping intervals and keep the list sorted

B. Add the new interval at the end without checking overlaps

C. Remove all intervals that come after the new interval

D. Sort the list again after adding the new interval anywhere

Solution

1. Step 1: Understand the problem context

   The list contains sorted, non-overlapping intervals. When inserting a new interval, we must keep the list sorted and merge any overlapping intervals.

2. Step 2: Identify correct insertion behavior

   Simply adding the new interval without merging or sorting breaks the list's properties. Proper merging keeps intervals non-overlapping and sorted.

3. Final Answer:

   Merge the new interval with overlapping intervals and keep the list sorted -> Option A

4. Quick Check:

   Insert interval = Merge and sort [OK]

Hint: Always merge overlapping intervals to keep list sorted [OK]

Common Mistakes:

• Inserting without merging overlaps
• Appending interval without sorting
• Removing intervals unnecessarily

2. Which of the following Java method signatures correctly represents a function to insert an interval into a sorted list of intervals?

easy

A. public void insertInterval(int intervals[], int newInterval[])

B. public List insertInterval(List intervals, int[] newInterval)

C. public int insertInterval(List<int> intervals, int newInterval)

D. public List<int> insertInterval(int[] intervals, int[] newInterval)

Solution

1. Step 1: Analyze parameter types for intervals

   Intervals are pairs of integers, so List is appropriate to hold multiple intervals. The new interval is an int[] of size 2.

2. Step 2: Check return type and parameters

   The method returns a List after insertion. public List insertInterval(List intervals, int[] newInterval) matches this signature correctly.

3. Final Answer:

   public List insertInterval(List intervals, int[] newInterval) -> Option B

4. Quick Check:

   Correct method signature uses List and int[] [OK]

Hint: Use List for intervals and int[] for new interval [OK]

Common Mistakes:

• Using int[] instead of List for intervals
• Wrong return type like void or int
• Using List<int> instead of List

3. Given the intervals [[1,3],[6,9]] and newInterval = [2,5], what is the resulting list after inserting the new interval?

medium

A. [[1,3],[6,9],[2,5]]

B. [[1,3],[2,5],[6,9]]

C. [[1,5],[6,9]]

D. [[2,5],[6,9]]

Solution

1. Step 1: Identify overlapping intervals

   The new interval [2,5] overlaps with [1,3] because 2 ≤ 3. So they merge into [1,5].

2. Step 2: Merge and keep other intervals

   After merging, the list becomes [[1,5],[6,9]] as [6,9] does not overlap.

3. Final Answer:

   [[1,5],[6,9]] -> Option C

4. Quick Check:

   Merged intervals = [[1,5],[6,9]] [OK]

Hint: Merge intervals if new start ≤ current end [OK]

Common Mistakes:

• Not merging overlapping intervals
• Appending new interval without sorting
• Incorrectly splitting intervals

4. Consider this Java code snippet for inserting an interval:

List insertInterval(List intervals, int[] newInterval) {
  List result = new ArrayList<>();
  for (int[] interval : intervals) {
    if (interval[1] < newInterval[0]) {
      result.add(interval);
    } else if (interval[0] > newInterval[1]) {
      result.add(newInterval);
      newInterval = interval;  // Fix to avoid multiple additions
    } else {
      newInterval[0] = Math.min(newInterval[0], interval[0]);
      newInterval[1] = Math.max(newInterval[1], interval[1]);
    }
  }
  result.add(newInterval);
  return result;
}

What is the bug in this code?

medium

A. It adds newInterval multiple times if intervals after it exist

B. It never adds intervals that come before newInterval

C. It modifies the input intervals list directly

D. It does not merge overlapping intervals correctly

Solution

1. Step 1: Analyze insertion of newInterval in else-if block

   When interval[0] > newInterval[1], it adds newInterval to result, but continues looping, causing newInterval to be added again later.

2. Step 2: Identify repeated addition of newInterval

   Because newInterval is added again after the loop, it can be added multiple times, causing duplicates.

3. Final Answer:

   It adds newInterval multiple times if intervals after it exist -> Option A

4. Quick Check:

   Repeated addition of newInterval causes duplicates [OK]

Hint: Add newInterval once after loop to avoid duplicates [OK]

Common Mistakes:

• Adding newInterval inside loop multiple times
• Not updating newInterval correctly
• Forgetting to add remaining intervals

5. You have intervals [[1,2],[3,5],[6,7],[8,10],[12,16]] and newInterval = [4,8]. After inserting and merging, what is the final list?

hard

A. [[1,2],[3,8],[12,16]]

B. [[1,2],[3,5],[6,8],[8,10],[12,16]]

C. [[1,2],[4,8],[12,16]]

D. [[1,2],[3,10],[12,16]]

Solution

1. Step 1: Identify intervals overlapping with [4,8]

   Intervals [3,5], [6,7], and [8,10] overlap with [4,8] because their ranges intersect.

2. Step 2: Merge overlapping intervals

   Merge [3,5], [6,7], [8,10], and [4,8] into one interval [3,10]. The others remain unchanged.

3. Step 3: Construct final list

   The final list is [[1,2],[3,10],[12,16]].

4. Final Answer:

   [[1,2],[3,10],[12,16]] -> Option D

5. Quick Check:

   Merged intervals = [[1,2],[3,10],[12,16]] [OK]

Hint: Merge all overlapping intervals into one continuous interval [OK]

Common Mistakes:

• Not merging all overlapping intervals
• Leaving duplicates of overlapping intervals
• Incorrectly splitting merged intervals