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
  • Follow-up ๐Ÿง

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  1. Topic 8 Linked List

25. Reverse Nodes in k-Group ๐Ÿ”„

PreviousLetโ€™s explain step by step ๐Ÿ‡Next19. Remove Nth Node From End of List ๐Ÿ—‘๏ธ

Last updated 4 months ago

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Difficulty: Hard - Tags: Linked List, Two Pointers


Problem Statement ๐Ÿ“œ

Given the head of a linked list, reverse the nodes of the list k at a time, and return the modified list.

k is a positive integer and is less than or equal to the length of the linked list. If the number of nodes is not a multiple of k, then left-out nodes, in the end, should remain as they are.

You may not alter the values in the list's nodes, only the nodes themselves may be changed.


Examples ๐ŸŒŸ

๐Ÿ”น Example 1:

Input:

head = [1,2,3,4,5], k = 2

Output:

[2,1,4,3,5]

๐Ÿ”น Example 2:

Input:

head = [1,2,3,4,5], k = 3

Output:

[3,2,1,4,5]

Constraints โš™๏ธ

  • The number of nodes in the list is n.

  • 1 <= k <= n <= 5000

  • 0 <= Node.val <= 1000


Solution ๐Ÿ’ก

The problem can be solved by using a two-pointer technique, iterating over the list in k-sized groups, and reversing the nodes in each group.


Java Solution

class ListNode {
    int val;
    ListNode next;

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

class Solution {
    public ListNode reverseKGroup(ListNode head, int k) {
        if (head == null || k == 1) return head;

        // Create a dummy node and point it to the head of the list
        ListNode dummy = new ListNode(0);
        dummy.next = head;
        ListNode curr = dummy, prev = dummy, next = dummy;

        // Count the total number of nodes in the list
        int count = 0;
        while (head != null) {
            count++;
            head = head.next;
        }

        // Reverse every k nodes in the list
        while (count >= k) {
            curr = prev.next;
            next = curr.next;
            // Reverse k nodes
            for (int i = 1; i < k; i++) {
                curr.next = next.next;
                next.next = prev.next;
                prev.next = next;
                next = curr.next;
            }
            prev = curr;
            count -= k;
        }

        return dummy.next;
    }
}

Explanation of the Solution

  1. Dummy Node:

    • We use a dummy node to simplify the reversal process. This helps in handling cases where the head of the list changes after the first reversal.

  2. Count the Total Nodes:

    • First, we traverse the entire list to count the total number of nodes. This allows us to determine if there are enough nodes left to reverse in groups of k.

  3. Reverse in Groups of k:

    • We then process the list in groups of k nodes. For each group, we reverse the nodes by adjusting their next pointers.

    • After reversing a group, we move the prev pointer to the last node in the reversed group.

  4. Edge Cases:

    • If the number of remaining nodes is less than k, they are left as-is without reversal.


Time Complexity โณ

  • O(n): The list is traversed once to count the nodes and again to reverse the groups of k nodes.

Space Complexity ๐Ÿ’พ

  • O(1): The reversal is done in-place without using additional memory for new nodes.


Follow-up ๐Ÿง

Can you solve the problem in O(1) extra memory space? The above solution does not use extra space besides the dummy node, which is constant space. The space complexity is optimal for this problem.

You can find the full solution .

here
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