Insertion Sort Algorithm in DSA Java - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main idea behind the Insertion Sort algorithm?

Insertion Sort builds the sorted list one element at a time by taking each element and inserting it into its correct position among the previously sorted elements.

beginner

What is the time complexity of Insertion Sort in the worst case?

The worst-case time complexity of Insertion Sort is O(n²), where n is the number of elements to sort. This happens when the list is sorted in reverse order.

intermediate

How does Insertion Sort perform on nearly sorted data?

Insertion Sort performs very efficiently on nearly sorted data, with a time complexity close to O(n), because fewer elements need to be moved.

beginner

In Insertion Sort, what happens during the inner loop?

During the inner loop, the current element is compared with elements in the sorted part and shifted to the right until the correct position for the current element is found.

beginner

Write the basic steps of Insertion Sort in simple words.

1. Start from the second element.
2. Compare it with elements before it.
3. Shift larger elements one position to the right.
4. Insert the current element in the correct position.
5. Repeat for all elements.

What is the best case time complexity of Insertion Sort?

A O(log n)

B O(n log n)

C O(n²)

D O(n)

The best case occurs when the array is already sorted, so Insertion Sort only makes one pass with no shifts, resulting in O(n) time.

Which part of the array is always sorted during Insertion Sort?

A The right side

B The entire array at once

C The left side

D The middle

Insertion Sort builds the sorted part from the left side, growing it one element at a time.

What does Insertion Sort do when it finds an element smaller than the current element during comparison?

A Shifts the larger element to the right

B Swaps the elements immediately

C Stops and inserts the element

D Ignores the element

It shifts the larger elements to the right to make space for the current element to be inserted.

Which of these is true about Insertion Sort?

A It is a divide and conquer algorithm

B It is stable and in-place

C It requires extra memory

D It is the fastest sorting algorithm for large data

Insertion Sort is stable (does not change the order of equal elements) and sorts the array in-place without extra memory.

What is the first step in Insertion Sort?

A Pick the second element

B Pick the first element

C Pick the last element

D Pick the middle element

Insertion Sort starts from the second element and inserts it into the sorted part on the left.

Explain how Insertion Sort works step-by-step using a simple example.

Think about sorting playing cards in your hand.

Describe the time complexity of Insertion Sort and when it performs best and worst.

Consider how many shifts happen in different input orders.

Practice

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

easy

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

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

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

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

Solution

1. Step 1: Understand insertion sort process

   Insertion sort builds the sorted array 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 sorting algorithms: divide and conquer (merge sort), swapping adjacent elements (bubble sort), selecting smallest element (selection sort).

3. Final Answer:

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

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 insertion sort divides array into halves
• Mixing insertion sort with selection sort

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

easy

A. for (int i = 0; i < n; i++)

B. for (int i = n - 1; i >= 0; i--)

C. for (int i = 1; i < n; i++)

D. for (int i = 1; i <= n; i++)

Solution

1. Step 1: Identify insertion sort loop start

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

2. Step 2: Check loop conditions

   The loop runs from i = 1 up to i < n (not i <= n) to avoid index out of bounds.

3. Final Answer:

   for (int i = 1; i < n; i++) -> Option C

4. Quick Check:

   Start from second element: i=1 [OK]

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

Common Mistakes:

• Starting loop at 0 instead of 1
• Using i <= n causing index errors
• Looping backwards incorrectly

3. What will be the output array after applying insertion sort on int[] arr = {4, 3, 2, 1};?

medium

A. [1, 2, 3, 4]

B. [4, 3, 2, 1]

C. [1, 3, 2, 4]

D. [2, 3, 4, 1]

Solution

1. Step 1: Trace insertion sort on array {4, 3, 2, 1}

   Start with second element 3: insert before 4 -> {3, 4, 2, 1}. Next 2: insert before 3 -> {2, 3, 4, 1}. Finally 1: insert before 2 -> {1, 2, 3, 4}.

2. Step 2: Confirm final sorted array

   After all insertions, the array is sorted ascending: [1, 2, 3, 4].

3. Final Answer:

   [1, 2, 3, 4] -> Option A

4. Quick Check:

   Insertion sort sorts ascending -> [1, 2, 3, 4] [OK]

Hint: Insertion sort outputs sorted array ascending [OK]

Common Mistakes:

• Assuming array stays unchanged
• Confusing insertion sort with no sorting
• Partial sorting only

4. Consider this insertion sort code snippet in Java:

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

What is the error in this code?

medium

A. The assignment should be arr[j + 1] = key; instead of arr[j] = key;

B. The loop should start from i = 0 instead of 1

C. The condition in while loop should be arr[j] < key

D. The decrement j-- should be j++

Solution

1. Step 1: Analyze where key is placed after shifting

   After shifting elements greater than key to the right, key should be placed at arr[j + 1] because j was decremented one extra time.

2. Step 2: Identify incorrect assignment

   The code assigns arr[j] = key; which overwrites the wrong index. Correct is arr[j + 1] = key;.

3. Final Answer:

   The assignment should be arr[j + 1] = key; instead of arr[j] = key; -> Option A

4. Quick Check:

   Place key at arr[j+1] after shifting [OK]

Hint: Place key at arr[j+1] after shifting elements [OK]

Common Mistakes:

• Assigning key to arr[j] instead of arr[j+1]
• Starting loop at wrong index
• Wrong while condition direction

5. You have an array int[] arr = {5, 3, 8, 6, 2};. After performing insertion sort, what will be the state of the array after the third iteration of the outer loop?

hard

A. [3, 5, 8, 2, 6]

B. [3, 5, 6, 8, 2]

C. [3, 5, 8, 6, 2]

D. [2, 3, 5, 6, 8]

Solution

1. Step 1: Trace each iteration of insertion sort

   Initial array: {5, 3, 8, 6, 2}
   Iteration 1 (i=1): Insert 3 before 5 -> {3, 5, 8, 6, 2}
   Iteration 2 (i=2): Insert 8 (already in correct place) -> {3, 5, 8, 6, 2}
   Iteration 3 (i=3): Insert 6 before 8 -> {3, 5, 6, 8, 2}

2. Step 2: Confirm array state after third iteration

   After third iteration, array is [3, 5, 6, 8, 2].

3. Final Answer:

   [3, 5, 6, 8, 2] -> Option B

4. Quick Check:

   After 3rd iteration, partial sort up to index 3 [OK]

Hint: Trace each insertion step carefully [OK]

Common Mistakes:

• Assuming full sort after 3 iterations
• Not moving elements correctly
• Mixing up iteration counts