Java Program To Merge Two Sorted Lists (In-Place) Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Given two sorted lists, merge them so as to produce a combined sorted list (without using extra space).Examples: Input: head1: 5->7->9 head2: 4->6->8 Output: 4->5->6->7->8->9 Explanation: The output list is in sorted order. Input: head1: 1->3->5->7 head2: 2->4 Output: 1->2->3->4->5->7 Explanation: The output list is in sorted order. Recommended: Please solve it on "PRACTICE" first, before moving on to the solution. There are different discussed different solutions in post below. Merge two sorted linked lists Method 1 (Recursive): Approach: The recursive solution can be formed, given the linked lists are sorted. Compare the head of both linked lists.Find the smaller node among the two head nodes. The current element will be the smaller node among two head nodes.The rest elements of both lists will appear after that.Now run a recursive function with parameters, the next node of the smaller element, and the other head.The recursive function will return the next smaller element linked with rest of the sorted element. Now point the next of current element to that, i.e curr_ele->next=recursivefunction()Handle some corner cases. If both the heads are NULL return null.If one head is null return the other. Java // Java program to merge two sorted // linked lists in-place. class GFG { static class Node { int data; Node next; }; // Function to create newNode in // a linkedlist static Node newNode(int key) { Node temp = new Node(); temp.data = key; temp.next = null; return temp; } // A utility function to print // linked list static void printList(Node node) { while (node != null) { System.out.printf("%d ", node.data); node = node.next; } } // Merges two given lists in-place. // This function mainly compares head // nodes and calls mergeUtil() static Node merge(Node h1, Node h2) { if (h1 == null) return h2; if (h2 == null) return h1; // start with the linked list // whose head data is the least if (h1.data < h2.data) { h1.next = merge(h1.next, h2); return h1; } else { h2.next = merge(h1, h2.next); return h2; } } // Driver program public static void main(String args[]) { Node head1 = newNode(1); head1.next = newNode(3); head1.next.next = newNode(5); // 1.3.5 LinkedList created Node head2 = newNode(0); head2.next = newNode(2); head2.next.next = newNode(4); // 0.2.4 LinkedList created Node mergedhead = merge(head1, head2); printList(mergedhead); } } // This code is contributed by Arnab Kundu Output: 0 1 2 3 4 5 Complexity Analysis: Time complexity:O(n). Only one traversal of the linked lists are needed.Auxiliary Space:O(n). If the recursive stack space is taken into consideration. Method 2 (Iterative): Approach: This approach is very similar to the above recursive approach. Traverse the list from start to end.If the head node of second list lies in between two nodes of the first list, insert it there and make the next node of second list the head. Continue this until there is no node left in both lists, i.e. both the lists are traversed.If the first list has reached end while traversing, point the next node to the head of second list. Note: Compare both the lists where the list with a smaller head value is the first list. Java // Java program to merge two sorted // linked lists in-place. class GfG { static class Node { int data; Node next; } // Function to create newNode in // a linkedlist static Node newNode(int key) { Node temp = new Node(); temp.data = key; temp.next = null; return temp; } // A utility function to print // linked list static void printList(Node node) { while (node != null) { System.out.print(node.data + " "); node = node.next; } } // Merges two lists with headers as // h1 and h2. It assumes that h1's // data is smaller than or equal to // h2's data. static Node mergeUtil(Node h1, Node h2) { // if only one node in first list // simply point its head to second // list if (h1.next == null) { h1.next = h2; return h1; } // Initialize current and next // pointers of both lists Node curr1 = h1, next1 = h1.next; Node curr2 = h2, next2 = h2.next; while (next1 != null && curr2 != null) { // if curr2 lies in between curr1 // and next1 then do curr1->curr2->next1 if ((curr2.data) >= (curr1.data) && (curr2.data) <= (next1.data)) { next2 = curr2.next; curr1.next = curr2; curr2.next = next1; // now let curr1 and curr2 to point // to their immediate next pointers curr1 = curr2; curr2 = next2; } else { // if more nodes in first list if (next1.next != null) { next1 = next1.next; curr1 = curr1.next; } // else point the last node of // first list to the remaining // nodes of second list else { next1.next = curr2; return h1; } } } return h1; } // Merges two given lists in-place. // This function mainly compares head // nodes and calls mergeUtil() static Node merge(Node h1, Node h2) { if (h1 == null) return h2; if (h2 == null) return h1; // start with the linked list // whose head data is the least if (h1.data < h2.data) return mergeUtil(h1, h2); else return mergeUtil(h2, h1); } // Driver code public static void main(String[] args) { Node head1 = newNode(1); head1.next = newNode(3); head1.next.next = newNode(5); // 1->3->5 LinkedList created Node head2 = newNode(0); head2.next = newNode(2); head2.next.next = newNode(4); // 0->2->4 LinkedList created Node mergedhead = merge(head1, head2); printList(mergedhead); } } // This code is contributed by prerna saini Output: 0 1 2 3 4 5 Complexity Analysis: Time complexity:O(n). As only one traversal of the linked lists is needed.Auxiliary Space:O(1). As there is no space required. Please refer complete article on Merge two sorted lists (in-place) for more details! Comment More infoAdvertise with us Next Article Analysis of Algorithms K kartik Follow Improve Article Tags : Linked List Java Programs DSA Microsoft Amazon Oracle Flipkart Samsung Belzabar Accolite MakeMyTrip Synopsys Brocade FactSet OATS Systems +11 More Practice Tags : AccoliteAmazonBelzabarBrocadeFactSetFlipkartMakeMyTripMicrosoftOATS SystemsOracleSamsungSynopsysLinked List +9 More Similar Reads Basics & PrerequisitesLogic Building ProblemsLogic building is about creating clear, step-by-step methods to solve problems using simple rules and principles. 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