Leetcode Top Interview โœจ
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  • Leetcode Top Interview ๐ŸŽฏ
  • Guide to Calculating Algorithm Complexity ๐Ÿš€
  • Topic 1 Array - String
    • 88. Merge Sorted Arrays ๐Ÿงฉ
    • 27. Remove Element ๐Ÿงน
    • 26. Remove Duplicates from Sorted Array ๐Ÿšซ
    • 80. Remove Duplicates from Sorted Array II ๐Ÿšซ๐Ÿšซ
    • 169. Majority Element ๐Ÿ‘‘
    • 189. Rotate Array ๐Ÿ”„
    • 121. Best Time to Buy and Sell Stock ๐Ÿ“ˆ
    • 122. Best Time to Buy and Sell Stock II ๐Ÿ“ˆ๐Ÿ’ฐ
    • 55. Jump Game ๐Ÿƒโ€โ™‚๏ธ
    • 45. Jump Game II ๐Ÿƒโ€โ™‚๏ธ
    • 274. H-Index ๐Ÿ“Š
    • 380. Insert Delete GetRandom O(1) ๐ŸŽฒ
    • 238. Product of Array Except Self ๐Ÿ”„
    • 134. Gas Station โ›ฝ
    • 135. Candy ๐Ÿฌ
    • 42. Trapping Rain Water ๐ŸŒง๏ธ
    • 13. Roman to Integer ๐Ÿ”ข
    • 018 Integer to Roman
    • 58. Length of Last Word ๐Ÿ” 
    • 14. Longest Common Prefix ๐ŸŒฑ
    • 151. Reverse Words in a String ๐Ÿ”„
    • 6. Zigzag Conversion ๐Ÿ”€
    • 28. Find the Index of the First Occurrence in a String ๐Ÿ”„
    • 68. Text Justification ๐Ÿ”„
  • Topic 2 Two Pointers
    • 125. Valid Palindrome ๐Ÿšฆ
    • 392. Is Subsequence ๐Ÿ“
    • 167. Two Sum II - Input Array Is Sorted ๐Ÿ”
    • 11. Container With Most Water ๐Ÿž๏ธ
    • 15. 3Sum ๐ŸŒ
  • Topic 3 Sliding Window
    • 209. Minimum Size Subarray Sum ๐ŸŒ
    • 3. Longest Substring Without Repeating Characters ๐ŸŒ
    • 30. Substring with Concatenation of All Words ๐ŸŒ
    • 76. Minimum Window Substring ๐ŸŒ
  • Topic 4 Matrix
    • 36. Valid Sudoku ๐ŸŒ
    • 54. Spiral Matrix ๐ŸŒ
    • 48. Rotate Image ๐Ÿ”„
    • 73. Set Matrix Zeroes
    • 289. Game of Life ๐Ÿ–ผ๏ธ
  • Topic 5 Hashmap
    • 383. Ransom Note ๐Ÿ”
    • 205. Isomorphic Strings ๐Ÿ”
    • 290. Word Pattern ๐Ÿงฉ
    • 242. Valid Anagram ๐ŸŽข
    • 49. Group Anagrams ๐Ÿคนโ€โ™‚๏ธ
    • 1. Two Sum ๐Ÿ”
    • 202. Happy Number ๐Ÿคฉ
    • 219. Contains Duplicate II ๐Ÿ”
    • 128. Longest Consecutive Sequence ๐Ÿ”
  • Topic 6 Intervals
    • 228. Summary Ranges ๐Ÿ“Š
    • 56. Merge Intervals ๐Ÿ”€
    • 57. Insert Interval ๐Ÿ†•
    • 452. Minimum Number of Arrows to Burst Balloons ๐ŸŽˆ
  • Topic 7 Stack
    • 20. Valid Parentheses ๐Ÿ”
    • 71. Simplify Path ๐Ÿ—บ๏ธ
    • 155. Min Stack ๐Ÿ—ƒ๏ธ
    • 150. Evaluate Reverse Polish Notation ๐Ÿง ๐Ÿ’ป
    • 224. Basic Calculator ๐Ÿงฎ
  • Topic 8 Linked List
    • 141. Linked List Cycle ๐Ÿ”
    • 2. Add Two Numbers ๐Ÿ”ข
    • 21. Merge Two Sorted Lists ๐Ÿ”—
    • 138. Copy List with Random Pointer ๐Ÿ”—
    • 92. Reverse Linked List II ๐Ÿ”„
      • Letโ€™s explain step by step ๐Ÿ‡
    • 25. Reverse Nodes in k-Group ๐Ÿ”„
    • 19. Remove Nth Node From End of List ๐Ÿ—‘๏ธ
    • 82. Remove Duplicates from Sorted List II โŒ๐Ÿ”ข
    • 61. Rotate List ๐Ÿ”„
    • 86. Partition List ๐Ÿ”—
    • 146. LRU Cache ๐Ÿ”—
  • Topic 9 Binary Tree General
    • 104. Maximum Depth of Binary Tree ๐Ÿ”—
    • 100. Same Tree ๐Ÿ”—
    • 226. Invert Binary Tree ๐Ÿ”—
    • 101. Symmetric Tree ๐Ÿ”—
    • 105. Construct Binary Tree from Preorder and Inorder Traversal ๐Ÿ”—
    • 106. Construct Binary Tree from Inorder and Postorder Traversal ๐Ÿ”—
    • 117. Populating Next Right Pointers in Each Node II ๐Ÿ”—
    • 114. Flatten Binary Tree to Linked List ๐Ÿ”—
    • 112. Path Sum ๐Ÿ”—
    • 129. Sum Root to Leaf Numbers ๐Ÿ”—
      • What_is_DFS
    • 124. Binary Tree Maximum Path Sum ๐Ÿ”—
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  • Problem Statement ๐Ÿ“œ
  • Examples ๐ŸŒŸ
  • Constraints โš™๏ธ
  • Solution ๐Ÿ’ก
  • Java Solution
  • Explanation of the Solution
  • Time Complexity โณ
  • Space Complexity ๐Ÿ’พ

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  1. Topic 8 Linked List

21. Merge Two Sorted Lists ๐Ÿ”—

Previous2. Add Two Numbers ๐Ÿ”ขNext138. Copy List with Random Pointer ๐Ÿ”—

Last updated 4 months ago

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Difficulty: Easy - Tags: Linked List, Sorting


Problem Statement ๐Ÿ“œ

You are given the heads of two sorted linked lists list1 and list2.

Merge the two lists into one sorted list. The list should be made by splicing together the nodes of the first two lists.

Return the head of the merged linked list.


Examples ๐ŸŒŸ

๐Ÿ”น Example 1:

Input:

list1 = [1,2,4], list2 = [1,3,4]

Output:

[1,1,2,3,4,4]

๐Ÿ”น Example 2:

Input:

list1 = [], list2 = []

Output:

[]

๐Ÿ”น Example 3:

Input:

list1 = [], list2 = [0]

Output:

[0]

Constraints โš™๏ธ

  • The number of nodes in both lists is in the range [0, 50].

  • -100 <= Node.val <= 100

  • Both list1 and list2 are sorted in non-decreasing order.


Solution ๐Ÿ’ก

To merge the two sorted lists, we can use the following approach:

  1. Create a dummy node to simplify edge cases, and use a pointer to track the current position.

  2. Compare the values of nodes from both lists and attach the smaller node to the merged list.

  3. Move the pointer in the respective list after attaching its node.

  4. When one of the lists is exhausted, attach the remaining nodes from the other list.

  5. Return the merged list starting from the node after the dummy.


Java Solution

class Solution {
    public ListNode mergeTwoLists(ListNode list1, ListNode list2) {
        // Create a dummy node to serve as the head of the merged list
        ListNode dummy = new ListNode(-1);
        ListNode current = dummy;

        // Compare nodes from both lists and merge them
        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;
        }

        // Attach the remaining nodes from list1 or list2
        if (list1 != null) {
            current.next = list1;
        } else {
            current.next = list2;
        }

        return dummy.next;
    }
}

Explanation of the Solution

  1. Dummy Node:

    • A dummy node simplifies handling the head of the merged list by avoiding edge-case checks for the first node.

  2. Comparison:

    • Compare the current nodes of list1 and list2, and append the smaller node to the merged list.

  3. Exhaustion of Lists:

    • If one of the lists is completely traversed, attach the remaining nodes of the other list.


Time Complexity โณ

  • O(n + m): We iterate through all nodes in both list1 (of size n) and list2 (of size m).

Space Complexity ๐Ÿ’พ

  • O(1): The solution is done in place with no additional data structures.

You can find the full solution .

here
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