Non Overlapping Intervals Minimum Removal in DSA Typescript - Time & Space Complexity

Time Complexity: Non Overlapping Intervals Minimum Removal

O(n log n)

Understanding Time Complexity

We want to find out how the time needed to remove overlapping intervals grows as the number of intervals increases.

How does the code handle sorting and checking intervals as input size changes?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

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;
}
    

This code sorts intervals by their end time, then counts how many intervals overlap and need removal.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Sorting the intervals array.
• How many times: Sorting takes multiple comparisons, roughly proportional to n log n where n is number of intervals.
• Secondary operation: Single loop through all intervals once (n times) to count overlaps.

How Execution Grows With Input

Sorting grows faster than simple looping as input grows.

Input Size (n)	Approx. Operations
10	About 10 * log(10) ≈ 33 operations for sorting + 10 for loop
100	About 100 * log(100) ≈ 664 operations for sorting + 100 for loop
1000	About 1000 * log(1000) ≈ 9965 operations for sorting + 1000 for loop

Pattern observation: Sorting dominates and grows faster than the simple loop as input size increases.

Final Time Complexity

Time Complexity: O(n log n)

This means the time needed grows a bit faster than the number of intervals because of sorting, but the checking loop grows linearly.

Common Mistake

[X] Wrong: "The loop checking overlaps is the slowest part, so time complexity is O(n)."

[OK] Correct: Sorting the intervals takes more time than the loop, so it controls the overall speed.

Interview Connect

Understanding how sorting affects time helps you explain your solution clearly and shows you know what part of your code matters most as input grows.

Self-Check

"What if the intervals were already sorted by end time? How would the time complexity change?"

Practice

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

1. Step 1: Understand the problem goal

   The problem asks to remove as few intervals as possible so that no two intervals overlap.

2. Step 2: Clarify what non-overlapping means

   Non-overlapping means intervals do not share any common points except possibly touching ends.

3. Final Answer:

   To remove the minimum number of intervals so that the remaining intervals do not overlap -> Option A

4. 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

1. 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.

2. Step 2: Match the correct signature

   function eraseOverlapIntervals(intervals: number[][]): number matches input as number[][] and output as number, which fits the problem.

3. Final Answer:

   function eraseOverlapIntervals(intervals: number[][]): number -> Option C

4. 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]]));

medium

A. 1

B. 2

C. 3

D. 0

Solution

1. Step 1: Sort intervals by end time

   Sorted intervals: [1,2], [2,3], [1,3], [3,4]

2. Step 2: Iterate and count removals

   Start with end = -Infinity
   Check [1,2]: 1 >= -Infinity true, end=2
   [2,3]: 2 >= 2 true, end=3
   [1,3]: 1 >= 3 false, count=1
   [3,4]: 3 >= 3 true, end=4

3. Final Answer:

   1 -> Option A

4. Quick Check:

   One interval removed to avoid overlap [OK]

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

1. Step 1: Check sorting criteria

   The function sorts intervals by start time, but the greedy approach requires sorting by end time to minimize removals.

2. Step 2: Understand impact on removal count

   Sorting by start time can cause incorrect counting of overlapping intervals, leading to wrong removal count.

3. Final Answer:

   Sorting intervals by start time instead of end time causes incorrect removals -> Option B

4. 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?

hard

A. 0

B. 3

C. 1

D. 2

Solution

1. Step 1: Sort intervals by end time

   Sorted intervals: [0,2], [1,3], [2,4], [3,5], [4,6]

2. Step 2: Select intervals greedily and count removals

   Start with end = -Infinity, count = 0
   [0,2]: 0 >= -Infinity true, end=2
   [1,3]: 1 < 2 overlap, count=1
   [2,4]: 2 >= 2 true, end=4
   [3,5]: 3 < 4 overlap, count=2
   [4,6]: 4 >= 4 true, end=6

3. Final Answer:

   2 -> Option D

4. Quick Check:

   Two intervals removed to avoid overlap [OK]

Hint: Sort by end, remove intervals starting before current end [OK]

Common Mistakes:

• Not sorting intervals before processing
• Counting intervals kept instead of removed
• Misunderstanding overlap conditions