LeetCode 21: Merge Two Sorted Lists - C++ Iterative Solution

Want to master LeetCode 21: Merge Two Sorted Lists?
In this video, I explain the iterative solution using a dummy node, along with clear pointer manipulation so you can fully understand how the algorithm works.

This is one of the most popular coding interview questions, frequently asked in FAANG and other top tech companies.
If you're preparing for DSA, placements, or interviews, this explanation will help you build strong intuition for linked list problems.

🔍 What You Will Learn

✔️ Problem Breakdown – LeetCode 21

✔️ Iterative Solution (Dummy Node Method)

✔️ How pointer manipulation works in linked lists

✔️ Why iterative is better for space optimization

✔️ Full code walkthrough in [Your Language]

✔️ Common mistakes and how to avoid them

⏱️ Time & Space Complexity

Time Complexity: O(n + m)

Space Complexity: O(N+M) (Iterative approach)

📌 Why This Problem Is Important

This question helps you strengthen:

Linked List fundamentals

In-place modifications

Pointer handling

Clean coding practices

DSA interview preparation

Perfect for:

Students preparing for placements

Beginners practicing DSA

Candidates targeting FAANG interviews

Anyone solving LeetCode daily

🧩 Topics Covered

Data Structures & Algorithms (DSA)

Linked Lists

Merge Two Sorted Lists

Dummy Node Technique

Iterative Approach

Big-O Analysis

Technical Interview Prep

Want to master LeetCode 21: Merge Two Sorted Lists?
In this video, I explain the iterative solution using a dummy node, along with clear pointer manipulation so you can fully understand how the algorithm works.

This is one of the most popular coding interview questions, frequently asked in FAANG and other top tech companies.
If you're preparing for DSA, placements, or interviews, this explanation will help you build strong intuition for linked list problems.

🔍 What You Will Learn

✔️ Problem Breakdown – LeetCode 21

✔️ Iterative Solution (Dummy Node Method)

✔️ How pointer manipulation works in linked lists

✔️ Why iterative is better for space optimization

✔️ Full code walkthrough in [Your Language]

✔️ Common mistakes and how to avoid them

⏱️ Time & Space Complexity

Time Complexity: O(n + m)

Space Complexity: O(1) (Iterative approach)

📌 Why This Problem Is Important

This question helps you strengthen:

Linked List fundamentals

In-place modifications

Pointer handling

Clean coding practices

DSA interview preparation

Perfect for:

Students preparing for placements

Beginners practicing DSA

Candidates targeting FAANG interviews

Anyone solving LeetCode daily

🧩 Topics Covered

Data Structures & Algorithms (DSA)

Linked Lists

Merge Two Sorted Lists

Dummy Node Technique

Iterative Approach

Big-O Analysis

Technical Interview Prep

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