Insert Interval into Sorted List in DSA C# - Time & Space Complexity
We want to understand how the time needed to insert a new interval into a sorted list changes as the list grows.
Specifically, how does the number of steps grow when the list has more intervals?
Analyze the time complexity of the following code snippet.
public IList<Interval> Insert(IList<Interval> intervals, Interval newInterval) {
var result = new List<Interval>();
int i = 0;
while (i < intervals.Count && intervals[i].End < newInterval.Start) {
result.Add(intervals[i]);
i++;
}
while (i < intervals.Count && intervals[i].Start <= newInterval.End) {
newInterval.Start = Math.Min(newInterval.Start, intervals[i].Start);
newInterval.End = Math.Max(newInterval.End, intervals[i].End);
i++;
}
result.Add(newInterval);
while (i < intervals.Count) {
result.Add(intervals[i]);
i++;
}
return result;
}
This code inserts a new interval into a sorted list of intervals, merging overlapping intervals as needed.
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 moves forward through the list without going back, together covering all intervals once.
As the number of intervals (n) 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 operations grows roughly in direct proportion to the number of intervals.
Time Complexity: O(n)
This means the time to insert grows linearly with the number of intervals in the list.
[X] Wrong: "Since there are three loops, the time complexity is O(3n) or O(n^2)."
[OK] Correct: The loops run one after another and together cover the list only once, so the total work is proportional to n, not n squared.
Understanding how to analyze loops that run sequentially is a key skill. It helps you explain your code clearly and shows you can reason about efficiency in real problems.
"What if the intervals list was not sorted? How would the time complexity change?"
Practice
Solution
Step 1: Understand the problem context
The list contains sorted, non-overlapping intervals. Inserting a new interval may cause overlaps.Step 2: Identify the required action
We must merge any overlapping intervals with the new one and keep the list sorted without overlaps.Final Answer:
To merge overlapping intervals and keep the list sorted without overlaps -> Option DQuick Check:
Insert and merge intervals = To merge overlapping intervals and keep the list sorted without overlaps [OK]
- Inserting without merging overlaps
- Appending without sorting
- Removing unrelated intervals
Solution
Step 1: Check correct syntax for List of int arrays
List requires elements as int arrays, declared with new int[] {start, end}.Step 2: Validate each option
var intervals = new List { new int[] {1, 3}, new int[] {6, 9} }; uses new int[] correctly; others use invalid syntax like braces or tuples.Final Answer:
var intervals = new List { new int[] {1, 3}, new int[] {6, 9} }; -> Option BQuick Check:
List of int arrays syntax = var intervals = new List { new int[] {1, 3}, new int[] {6, 9} }; [OK]
- Using curly braces instead of new int[]
- Using tuples instead of arrays
- Incorrect variable type declaration
[[1, 3], [6, 9]] and a new interval [2, 5], what is the resulting list after inserting and merging?Solution
Step 1: Identify overlapping intervals
The new interval [2, 5] overlaps with [1, 3] because 2 ≤ 3.Step 2: Merge overlapping intervals
Merge [1, 3] and [2, 5] into [1, 5]. The interval [6, 9] remains unchanged.Final Answer:
[[1, 5], [6, 9]] -> Option CQuick Check:
Merged intervals = [[1, 5], [6, 9]] [OK]
- Not merging overlapping intervals
- Inserting new interval without merging
- Merging all intervals incorrectly
var intervals = new List { new int[] {1, 2}, new int[] {3, 5} };
var newInterval = new int[] {4, 7};
foreach(var interval in intervals) {
if(interval[1] >= newInterval[0]) {
interval[1] = Math.Max(interval[1], newInterval[1]);
break;
}
}Solution
Step 1: Analyze the loop behavior
The loop breaks after merging with the first overlapping interval, ignoring others.Step 2: Identify the bug impact
Intervals after the first overlap are not merged, causing incorrect final intervals.Final Answer:
It modifies only the first overlapping interval but misses merging subsequent overlaps -> Option AQuick Check:
Loop breaks early, missing merges = It modifies only the first overlapping interval but misses merging subsequent overlaps [OK]
- Breaking loop too soon
- Not merging all overlaps
- Assuming single overlap only
[[1, 2], [3, 5], [6, 7], [8, 10], [12, 16]] and a new interval [4, 8]. After inserting and merging, what is the final list?Solution
Step 1: Find intervals overlapping with [4, 8]
Intervals [3, 5], [6, 7], and [8, 10] overlap with [4, 8].Step 2: Merge all overlapping intervals
Merge [3, 5], [6, 7], [8, 10], and [4, 8] into [3, 10].Step 3: Keep non-overlapping intervals unchanged
Intervals [1, 2] and [12, 16] remain as is.Final Answer:
[[1, 2], [3, 10], [12, 16]] -> Option AQuick Check:
Merged overlapping intervals correctly = [[1, 2], [3, 10], [12, 16]] [OK]
- Merging only some overlapping intervals
- Not merging intervals that touch at boundaries
- Replacing intervals instead of merging
Ready to prove it?
Pass the test and this pattern moves unknown
