Why Merge Two Sorted Linked Lists in DSA Javascript?

The Big Idea

What if you could combine two sorted lists perfectly without any mistakes or extra work?

The Scenario

Imagine you have two lists of names sorted alphabetically on paper. You want to combine them into one big sorted list. Doing this by hand means comparing each name one by one, which takes a lot of time and can easily cause mistakes.

The Problem

Manually merging two sorted lists is slow and tiring. You might lose track of which names you already added or accidentally put names out of order. This makes the process error-prone and frustrating, especially if the lists are long.

The Solution

Using the "Merge Two Sorted Linked Lists" method, a computer can quickly and correctly combine two sorted lists by comparing their elements step-by-step. This method keeps the order intact and avoids mistakes, making the process fast and reliable.

Before vs After

✗ Before

let mergedList = [];
for (let i = 0; i < list1.length; i++) {
  mergedList.push(list1[i]);
}
for (let j = 0; j < list2.length; j++) {
  mergedList.push(list2[j]);
}
mergedList.sort();

✓ After

function mergeLists(list1, list2) {
  let dummy = new ListNode(0);
  let current = dummy;
  while (list1 !== null && list2 !== null) {
    if (list1.val < list2.val) {
      current.next = list1;
      list1 = list1.next;
    } else {
      current.next = list2;
      list2 = list2.next;
    }
    current = current.next;
  }
  current.next = list1 || list2;
  return dummy.next;
}

What It Enables

This concept allows you to efficiently combine sorted data streams or lists without losing order, enabling faster and more reliable data processing.

Real Life Example

When merging two sorted contact lists from different apps on your phone, this method helps combine them into one sorted list without duplicates or errors.

Key Takeaways

Manually merging sorted lists is slow and error-prone.

The merge method compares elements step-by-step to keep order.

This makes combining sorted lists fast, easy, and reliable.

Practice

1. What is the main goal when merging two sorted linked lists?

easy

A. To find the largest element in both lists

B. To reverse both linked lists

C. To create a new sorted linked list containing all elements from both lists

D. To delete duplicate elements from both lists

Solution

1. Step 1: Understand the merging process

   Merging means combining two lists into one while keeping the order sorted.

2. Step 2: Identify the goal of merging sorted lists

   The goal is to create a new sorted list that contains all elements from both lists without changing their order.

3. Final Answer:

   To create a new sorted linked list containing all elements from both lists -> Option C

4. Quick Check:

   Merging = combining sorted lists [OK]

Hint: Merging means combining sorted lists into one sorted list [OK]

Common Mistakes:

• Thinking merging reverses the lists
• Confusing merging with finding max element
• Assuming duplicates are removed automatically

2. Which of the following is the correct way to start merging two sorted linked lists in JavaScript?

easy

A. let dummy = new ListNode(0); let current = dummy;

B. let dummy = new ListNode(); let current = dummy.next;

C. let dummy = 0; let current = dummy;

D. let current = null; let dummy = current;

Solution

1. Step 1: Initialize a dummy node correctly

   We create a dummy node with a value (usually 0) to start the merged list.

2. Step 2: Set a pointer to track the current node

   We set current to dummy to build the merged list from dummy onwards.

3. Final Answer:

   let dummy = new ListNode(0); let current = dummy; -> Option A

4. Quick Check:

   Dummy node initialization = let dummy = new ListNode(0); let current = dummy; [OK]

Hint: Start with dummy node and current pointer for easy list building [OK]

Common Mistakes:

• Using primitive 0 instead of ListNode object
• Swapping dummy and current incorrectly
• Setting current or dummy to null initially

3. What will be the merged linked list after running the following code?

function ListNode(val, next = null) { this.val = val; this.next = next; }

let l1 = new ListNode(1, new ListNode(3, new ListNode(5)));
let l2 = new ListNode(2, new ListNode(4, new ListNode(6)));

function mergeTwoLists(l1, l2) {
  let dummy = new ListNode(0);
  let current = dummy;
  while (l1 && l2) {
    if (l1.val < l2.val) {
      current.next = l1;
      l1 = l1.next;
    } else {
      current.next = l2;
      l2 = l2.next;
    }
    current = current.next;
  }
  current.next = l1 || l2;
  return dummy.next;
}

let merged = mergeTwoLists(l1, l2);

let result = [];
while (merged) {
  result.push(merged.val);
  merged = merged.next;
}
console.log(result);

medium

A. [1, 3, 5, 2, 4, 6]

B. [1, 2, 3, 4, 5, 6]

C. [2, 4, 6, 1, 3, 5]

D. [6, 5, 4, 3, 2, 1]

Solution

1. Step 1: Trace the merging loop

   Compare nodes: 1 < 2, add 1; 3 > 2, add 2; 3 < 4, add 3; 5 > 4, add 4; 5 < 6, add 5; then add remaining 6.

2. Step 2: Collect merged list values

   The merged list values in order are [1, 2, 3, 4, 5, 6].

3. Final Answer:

   [1, 2, 3, 4, 5, 6] -> Option B

4. Quick Check:

   Sorted merge result = [1, 2, 3, 4, 5, 6] [OK]

Hint: Compare heads, pick smaller, move pointer, repeat [OK]

Common Mistakes:

• Appending entire list instead of node by node
• Not updating current pointer after adding node
• Mixing order of nodes in merged list

4. Identify the bug in this merge function and select the fix:

function mergeTwoLists(l1, l2) {
  let dummy = new ListNode(0);
  let current = dummy;
  while (l1 !== null || l2 !== null) {
    if (l1.val < l2.val) {
      current.next = l1;
      l1 = l1.next;
    } else {
      current.next = l2;
      l2 = l2.next;
    }
    current = current.next;
  }
  return dummy.next;
}

medium

A. Initialize dummy with null instead of 0

B. Add check for null before comparing l1.val and l2.val

C. Remove current = current.next inside the loop

D. Change while condition to 'while (l1 && l2)'

Solution

1. Step 1: Analyze the while loop condition

   The loop uses '||' which allows l1 or l2 to be null, causing errors when accessing val.

2. Step 2: Fix the loop condition

   Changing the condition to 'while (l1 && l2)' ensures both lists have nodes before accessing val.

3. Final Answer:

   Change while condition to 'while (l1 && l2)' -> Option D

4. Quick Check:

   Loop condition with && prevents null pointer errors [OK]

Hint: Use && in loop condition to ensure both nodes exist before access [OK]

Common Mistakes:

• Using || instead of && in loop condition without null checks
• Forgetting to move current pointer
• Initializing dummy with wrong value type

5. Given two sorted linked lists where one is empty and the other is 1 -> 2 -> 3 -> null, what is the merged list?

medium

A. 1 -> 2 -> 3 -> null

B. Error due to empty list

C. 3 -> 2 -> 1 -> null

D. null

Solution

1. Step 1: Understand merging with an empty list

   If one list is empty, the merged list is just the other list unchanged.

2. Step 2: Apply this to given lists

   Since one list is empty and the other is 1 -> 2 -> 3 -> null, the merged list is 1 -> 2 -> 3 -> null.

3. Final Answer:

   1 -> 2 -> 3 -> null -> Option A

4. Quick Check:

   Merging with empty list returns the non-empty list [OK]

Hint: Empty list merged with sorted list returns the sorted list [OK]

Common Mistakes:

• Assuming error occurs when one list is empty
• Reversing the non-empty list mistakenly
• Returning null instead of the non-empty list