Merge K sorted linked lists | Set 1

Given K sorted linked lists of size N each, merge them and print the sorted output.

Example:

Input: k = 3, n =  4
list1 = 1->3->5->7->NULL
list2 = 2->4->6->8->NULL
list3 = 0->9->10->11

Output: 
0->1->2->3->4->5->6->7->8->9->10->11

Recommended: Please solve it on “PRACTICE” first, before moving on to the solution.

Method 1 (Simple)
A Simple Solution is to initialize result as first list. Now traverse all lists starting from second list. Insert every node of currently traversed list into result in a sorted way. Time complexity of this solution is O(N²) where N is total number of nodes, i.e., N = kn.

Method 2 (Using Min Heap)
A Better solution is to use Min Heap based solution which is discussed here for arrays. Time complexity of this solution would be O(nk Log k)

Method 3 (Using Divide and Conquer))
In this post, Divide and Conquer approach is discussed. This approach doesn’t require extra space for heap and works in O(nk Log k)

We already know that merging of two linked lists can be done in O(n) time and O(1) space (For arrays O(n) space is required). The idea is to pair up K lists and merge each pair in linear time using O(1) space. After first cycle, K/2 lists are left each of size 2*N. After second cycle, K/4 lists are left each of size 4*N and so on. We repeat the procedure until we have only one list left.

Below is implementation of the above idea.

C++

// C++ program to merge k sorted arrays of size n each 
#include <bits/stdc++.h> 
using namespace std; 
  
// A Linked List node 
struct Node 
{ 
    int data; 
    Node* next; 
}; 
  
/* Function to print nodes in a given linked list */
void printList(Node* node) 
{ 
    while (node != NULL) 
    { 
        printf("%d ", node->data); 
        node = node->next; 
    } 
} 
  
/* Takes two lists sorted in increasing order, and merge 
   their nodes together to make one big sorted list. Below 
   function takes O(Log n) extra space for recursive calls, 
   but it can be easily modified to work with same time and 
   O(1) extra space  */
Node* SortedMerge(Node* a, Node* b) 
{ 
    Node* result = NULL; 
  
    /* Base cases */
    if (a == NULL) 
        return (b); 
    else if(b == NULL) 
        return (a); 
  
    /* Pick either a or b, and recur */
    if(a->data <= b->data) 
    { 
        result = a; 
        result->next = SortedMerge(a->next, b); 
    } 
    else
    { 
        result = b; 
        result->next = SortedMerge(a, b->next); 
    } 
  
    return result; 
} 
  
// The main function that takes an array of lists 
// arr[0..last] and generates the sorted output 
Node* mergeKLists(Node* arr[], int last) 
{ 
    // repeat until only one list is left 
    while (last != 0) 
    { 
        int i = 0, j = last; 
  
        // (i, j) forms a pair 
        while (i < j) 
        { 
            // merge List i with List j and store 
            // merged list in List i 
            arr[i] = SortedMerge(arr[i], arr[j]); 
  
            // consider next pair 
            i++, j--; 
  
            // If all pairs are merged, update last 
            if (i >= j) 
                last = j; 
        } 
    } 
  
    return arr[0]; 
} 
  
// Utility function to create a new node. 
Node *newNode(int data) 
{ 
    struct Node *temp = new Node; 
    temp->data = data; 
    temp->next = NULL; 
    return temp; 
} 
  
// Driver program to test above functions 
int main() 
{ 
    int k = 3; // Number of linked lists 
    int n = 4; // Number of elements in each list 
  
    // an array of pointers storing the head nodes 
    // of the linked lists 
    Node* arr[k]; 
  
    arr[0] = newNode(1); 
    arr[0]->next = newNode(3); 
    arr[0]->next->next = newNode(5); 
    arr[0]->next->next->next = newNode(7); 
  
    arr[1] = newNode(2); 
    arr[1]->next = newNode(4); 
    arr[1]->next->next = newNode(6); 
    arr[1]->next->next->next = newNode(8); 
  
    arr[2] = newNode(0); 
    arr[2]->next = newNode(9); 
    arr[2]->next->next = newNode(10); 
    arr[2]->next->next->next = newNode(11); 
  
    // Merge all lists 
    Node* head = mergeKLists(arr, k - 1); 
  
    printList(head); 
  
    return 0; 
} 

Java

// Java program to merge k sorted arrays of size n each  
public class MergeKSortedLists { 
  
    /* Takes two lists sorted in increasing order, and merge  
    their nodes together to make one big sorted list. Below  
    function takes O(Log n) extra space for recursive calls,  
    but it can be easily modified to work with same time and  
    O(1) extra space  */
    public static Node SortedMerge(Node a, Node b)  
    {  
        Node result = null;  
        /* Base cases */
        if (a == null)  
            return b;  
        else if(b == null)  
            return a;  
    
        /* Pick either a or b, and recur */
        if(a.data <= b.data)  
        {  
            result = a;  
            result.next = SortedMerge(a.next, b);  
        }  
        else
        {  
            result = b;  
            result.next = SortedMerge(a, b.next);  
        }  
    
        return result;  
    }  
  
    // The main function that takes an array of lists  
    // arr[0..last] and generates the sorted output  
    public static Node mergeKLists(Node arr[], int last)  
    {  
        // repeat until only one list is left  
        while (last != 0)  
        {  
            int i = 0, j = last;  
    
            // (i, j) forms a pair  
            while (i < j)  
            {  
                // merge List i with List j and store  
                // merged list in List i  
                arr[i] = SortedMerge(arr[i], arr[j]);  
    
                // consider next pair  
                i++; j--;  
    
                // If all pairs are merged, update last  
                if (i >= j)  
                    last = j;  
            }  
        }  
    
        return arr[0];  
    }  
  
    /* Function to print nodes in a given linked list */
    public static void printList(Node node)  
    {  
        while (node != null)  
        {  
            System.out.print(node.data+" "); 
            node = node.next;  
        }  
    }  
  
    public static void main(String args[]) { 
        int k = 3; // Number of linked lists  
        int n = 4; // Number of elements in each list  
    
        // an array of pointers storing the head nodes  
        // of the linked lists  
        Node arr[]=new Node[k];  
    
        arr[0] = new Node(1);  
        arr[0].next = new Node(3);  
        arr[0].next.next = new Node(5);  
        arr[0].next.next.next = new Node(7);  
    
        arr[1] = new Node(2);  
        arr[1].next = new Node(4);  
        arr[1].next.next = new Node(6);  
        arr[1].next.next.next = new Node(8);  
    
        arr[2] = new Node(0);  
        arr[2].next = new Node(9);  
        arr[2].next.next = new Node(10);  
        arr[2].next.next.next = new Node(11);  
    
        // Merge all lists  
        Node head = mergeKLists(arr, k - 1);  
        printList(head);  
    } 
} 
  
class Node 
{ 
    int data; 
    Node next; 
    Node(int data) 
    { 
        this.data=data; 
    } 
} 
//This code is contributed by Gaurav Tiwari 

C#

// C# program to merge k sorted arrays of size n each  
using System; 
  
public class MergeKSortedLists  
{  
  
    /* Takes two lists sorted in  
    increasing order, and merge  
    their nodes together to make 
    one big sorted list. Below  
    function takes O(Log n) extra  
    space for recursive calls,  
    but it can be easily modified  
    to work with same time and  
    O(1) extra space */
    public static Node SortedMerge(Node a, Node b)  
    {  
        Node result = null; 
          
        /* Base cases */
        if (a == null)  
            return b;  
        else if(b == null)  
            return a;  
      
        /* Pick either a or b, and recur */
        if(a.data <= b.data)  
        {  
            result = a;  
            result.next = SortedMerge(a.next, b);  
        }  
        else
        {  
            result = b;  
            result.next = SortedMerge(a, b.next);  
        }  
      
        return result;  
    }  
  
    // The main function that takes  
    // an array of lists arr[0..last]  
    // and generates the sorted output  
    public static Node mergeKLists(Node []arr, int last)  
    {  
        // repeat until only one list is left  
        while (last != 0)  
        {  
            int i = 0, j = last;  
      
            // (i, j) forms a pair  
            while (i < j)  
            {  
                // merge List i with List j and store  
                // merged list in List i  
                arr[i] = SortedMerge(arr[i], arr[j]);  
      
                // consider next pair  
                i++; j--;  
      
                // If all pairs are merged, update last  
                if (i >= j)  
                    last = j;  
            }  
        }  
      
        return arr[0];  
    }  
  
    /* Function to print nodes in a given linked list */
    public static void printList(Node node)  
    {  
        while (node != null)  
        {  
            Console.Write(node.data+" ");  
            node = node.next;  
        }  
    }  
  
    public static void Main() 
    {  
        int k = 3; // Number of linked lists  
        int n = 4; // Number of elements in each list  
      
        // An array of pointers storing the head nodes  
        // of the linked lists  
        Node []arr=new Node[k];  
      
        arr[0] = new Node(1);  
        arr[0].next = new Node(3);  
        arr[0].next.next = new Node(5);  
        arr[0].next.next.next = new Node(7);  
      
        arr[1] = new Node(2);  
        arr[1].next = new Node(4);  
        arr[1].next.next = new Node(6);  
        arr[1].next.next.next = new Node(8);  
      
        arr[2] = new Node(0);  
        arr[2].next = new Node(9);  
        arr[2].next.next = new Node(10);  
        arr[2].next.next.next = new Node(11);  
      
        // Merge all lists  
        Node head = mergeKLists(arr, k - 1);  
        printList(head);  
    }  
}  
  
public class Node  
{  
    public int data;  
    public Node next;  
    public Node(int data)  
    {  
        this.data=data;  
    }  
}  
  
/* This code contributed by PrinciRaj1992 */

Output :

0 1 2 3 4 5 6 7 8 9 10 11

Time Complexity of above algorithm is O(nk logk) as outer while loop in function mergeKLists() runs log k times and every time we are processing nk elements.

Merge k sorted linked lists | Set 2 (Using Min Heap)

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