Insertion Sort Algorithm in DSA Javascript - Time & Space Complexity

Time Complexity: Insertion Sort Algorithm

O(n²)

Understanding Time Complexity

We want to understand how the time taken by the Insertion Sort algorithm changes as the list size grows.

Specifically, how many steps does it take to sort more numbers?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

function insertionSort(arr) {
  for (let i = 1; i < arr.length; i++) {
    let key = arr[i];
    let j = i - 1;
    while (j >= 0 && arr[j] > key) {
      arr[j + 1] = arr[j];
      j--;
    }
    arr[j + 1] = key;
  }
  return arr;
}
    

This code sorts an array by inserting each element into its correct place among the already sorted elements to its left.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The inner while loop that shifts elements to insert the key in the right place.
• How many times: The outer for loop runs once for each element (n-1 times), and the inner while loop can run up to i times for each outer loop step.

How Execution Grows With Input

As the list grows, the number of comparisons and shifts grows roughly with the square of the list size.

Input Size (n)	Approx. Operations
10	About 45 comparisons and shifts
100	About 4,950 comparisons and shifts
1000	About 499,500 comparisons and shifts

Pattern observation: When input size doubles, operations roughly quadruple, showing a squared growth.

Final Time Complexity

Time Complexity: O(n²)

This means the time taken grows roughly with the square of the number of items to sort.

Common Mistake

[X] Wrong: "Insertion Sort always takes the same time no matter the input order."

[OK] Correct: If the list is already mostly sorted, Insertion Sort runs much faster, closer to linear time, because fewer shifts are needed.

Interview Connect

Knowing how Insertion Sort behaves helps you understand sorting basics and compare it with faster methods, which is a useful skill in interviews and real coding.

Self-Check

"What if we changed the array to be already sorted? How would the time complexity change?"

Practice

1. What is the main idea behind the Insertion Sort algorithm?

easy

A. Build the sorted array one element at a time by inserting elements in the correct position

B. Divide the array into halves and sort each half separately

C. Swap adjacent elements if they are in the wrong order repeatedly

D. Select the smallest element and swap it with the first unsorted element

Solution

1. Step 1: Understand insertion sort process

   Insertion sort builds the sorted list by taking one element at a time and placing it in the correct position among the already sorted elements.

2. Step 2: Compare with other sorting methods

   Other options describe different algorithms: dividing (merge sort), swapping adjacent (bubble sort), selecting smallest (selection sort).

3. Final Answer:

   Build the sorted array one element at a time by inserting elements in the correct position -> Option A

4. Quick Check:

   Insertion sort = Insert elements step-by-step [OK]

Hint: Insertion sort inserts elements one by one in order [OK]

Common Mistakes:

• Confusing insertion sort with bubble sort
• Thinking it divides the array like merge sort
• Mixing it up with selection sort

2. Which of the following is the correct syntax to start the outer loop for insertion sort in JavaScript for an array arr?

easy

A. for(let i = 0; i < arr.length; i++)

B. for(let i = 1; i < arr.length; i++)

C. for(let i = arr.length - 1; i >= 0; i--)

D. for(let i = 0; i <= arr.length; i++)

Solution

1. Step 1: Identify starting index for insertion sort

   Insertion sort starts from the second element (index 1) because the first element is considered sorted.

2. Step 2: Check loop condition correctness

   The loop runs while i < arr.length to cover all elements. Starting at 0 or going beyond length is incorrect.

3. Final Answer:

   for(let i = 1; i < arr.length; i++) -> Option B

4. Quick Check:

   Start loop at 1 for insertion sort [OK]

Hint: Start outer loop at 1, not 0, in insertion sort [OK]

Common Mistakes:

• Starting loop at 0 instead of 1
• Using <= instead of < in loop condition
• Looping backwards incorrectly

3. What will be the output of the following JavaScript code?

function insertionSort(arr) {
  for(let i = 1; i < arr.length; i++) {
    let key = arr[i];
    let j = i - 1;
    while(j >= 0 && arr[j] > key) {
      arr[j + 1] = arr[j];
      j--;
    }
    arr[j + 1] = key;
  }
  return arr;
}

console.log(insertionSort([4, 2, 7, 1]));

medium

A. [2, 1, 4, 7]

B. [4, 2, 7, 1]

C. [1, 4, 2, 7]

D. [1, 2, 4, 7]

Solution

1. Step 1: Trace first iteration (i=1)

   key=2, compare with 4, shift 4 right, insert 2 at index 0 -> [2,4,7,1]

2. Step 2: Trace remaining iterations

   i=2: key=7, no shift -> [2,4,7,1]; i=3: key=1, shift 7,4,2 right, insert 1 at index 0 -> [1,2,4,7]

3. Final Answer:

   [1, 2, 4, 7] -> Option D

4. Quick Check:

   Sorted array = [1, 2, 4, 7] [OK]

Hint: Insertion sort outputs sorted array in ascending order [OK]

Common Mistakes:

• Not shifting elements correctly
• Returning original array without sorting
• Confusing key placement index

4. Find the error in this insertion sort code snippet:

function insertionSort(arr) {
  for(let i = 1; i <= arr.length; i++) {
    let key = arr[i];
    let j = i - 1;
    while(j >= 0 && arr[j] > key) {
      arr[j + 1] = arr[j];
      j--;
    }
    arr[j + 1] = key;
  }
  return arr;
}

medium

A. The outer loop condition should be i < arr.length instead of <=.

B. The inner while loop condition should be arr[j] < key.

C. The key should be assigned after the while loop, not before.

D. The variable j should start at i, not i - 1.

Solution

1. Step 1: Check outer loop boundary

   The loop runs from 1 to arr.length inclusive, but array indices go from 0 to arr.length - 1, so i < arr.length is correct.

2. Step 2: Verify other parts

   Inner loop condition and key assignment are correct; j starts at i - 1 to compare with previous elements.

3. Final Answer:

   The outer loop condition should be i < arr.length instead of <=. -> Option A

4. Quick Check:

   Loop must not exceed array length [OK]

Hint: Use i < arr.length to avoid out-of-bounds [OK]

Common Mistakes:

• Using <= causes index out of range error
• Changing inner loop condition incorrectly
• Misplacing key assignment

5. Given the array [3, 0, -2, 5, 1], after the second iteration (i=2) of insertion sort, what will the array look like?

hard

A. [0, 3, -2, 5, 1]

B. [0, -2, 3, 5, 1]

C. [-2, 0, 3, 5, 1]

D. [3, 0, -2, 5, 1]

Solution

1. Step 1: Trace first iteration (i=1)

   key=0, compare with 3, shift 3 right, insert 0 at index 0 -> [0,3,-2,5,1]

2. Step 2: Trace second iteration (i=2)

   key=-2, compare with 3 and 0, shift both right, insert -2 at index 0 -> [-2,0,3,5,1]

3. Final Answer:

   [-2, 0, 3, 5, 1] -> Option C

4. Quick Check:

   After 2 iterations, array is partially sorted [OK]

Hint: After i-th iteration, first i+1 elements are sorted [OK]

Common Mistakes:

• Not shifting all larger elements
• Inserting key at wrong position
• Confusing iteration count with index