# C Algorithm – Merge two sorted linked lists

C Algorithm - Merge two sorted linked lists - Linked List - Write a SortedMerge() function that takes two lists, each of which is sorted in increasing order

Write a SortedMerge() function that takes two lists, each of which is sorted in increasing order, and merges the two together into one list which is in increasing order. SortedMerge() should return the new list. The new list should be made by splicing
together the nodes of the first two lists.

For example if the first linked list a is 5->10->15 and the other linked list b is 2->3->20, then SortedMerge() should return a pointer to the head node of the merged list 2->3->5->10->15->20.

There are many cases to deal with: either ‘a’ or ‘b’ may be empty, during processing either ‘a’ or ‘b’ may run out first, and finally there’s the problem of starting the result list empty, and building it up while going through ‘a’ and ‘b’.

Method 1 (Using Dummy Nodes)
The strategy here uses a temporary dummy node as the start of the result list. The pointer Tail always points to the last node in the result list, so appending new nodes is easy.
The dummy node gives tail something to point to initially when the result list is empty. This dummy node is efficient, since it is only temporary, and it is allocated in the stack. The loop proceeds, removing one node from either ‘a’ or ‘b’, and adding it to tail. When
we are done, the result is in dummy.next.

C Programming:

``````/* C/C++ program to merge two sorted linked lists */
#include<stdio.h>
#include<stdlib.h>
#include<assert.h>

struct node
{
int data;
struct node* next;
};

/* pull off the front node of the source and put it in dest */
void MoveNode(struct node** destRef, struct node** sourceRef);

/* Takes two lists sorted in increasing order, and splices
their nodes together to make one big sorted list which
is returned.  */
struct node* SortedMerge(struct node* a, struct node* b)
{
/* a dummy first node to hang the result on */
struct node dummy;

/* tail points to the last result node  */
struct node* tail = &dummy;

/* so tail->next is the place to add new nodes
to the result. */
dummy.next = NULL;
while (1)
{
if (a == NULL)
{
/* if either list runs out, use the
other list */
tail->next = b;
break;
}
else if (b == NULL)
{
tail->next = a;
break;
}
if (a->data <= b->data)
MoveNode(&(tail->next), &a);
else
MoveNode(&(tail->next), &b);

tail = tail->next;
}
return(dummy.next);
}

/* UTILITY FUNCTIONS */
/* MoveNode() function takes the node from the front of the
source, and move it to the front of the dest.
It is an error to call this with the source list empty.

Before calling MoveNode():
source == {1, 2, 3}
dest == {1, 2, 3}

Affter calling MoveNode():
source == {2, 3}
dest == {1, 1, 2, 3} */
void MoveNode(struct node** destRef, struct node** sourceRef)
{
/* the front source node  */
struct node* newNode = *sourceRef;
assert(newNode != NULL);

/* Advance the source pointer */
*sourceRef = newNode->next;

/* Link the old dest off the new node */
newNode->next = *destRef;

/* Move dest to point to the new node */
*destRef = newNode;
}

/* Function to insert a node at the beginging of the
void push(struct node** head_ref, int new_data)
{
/* allocate node */
struct node* new_node =
(struct node*) malloc(sizeof(struct node));

/* put in the data  */
new_node->data  = new_data;

/* link the old list off the new node */

/* move the head to point to the new node */
}

/* Function to print nodes in a given linked list */
void printList(struct node *node)
{
while (node!=NULL)
{
printf("%d ", node->data);
node = node->next;
}
}

/* Drier program to test above functions*/
int main()
{
struct node* res = NULL;
struct node* a = NULL;
struct node* b = NULL;

/* Let us create two sorted linked lists to test
the functions
Created lists, a: 5->10->15,  b: 2->3->20 */
push(&a, 15);
push(&a, 10);
push(&a, 5);

push(&b, 20);
push(&b, 3);
push(&b, 2);

/* Remove duplicates from linked list */
res = SortedMerge(a, b);

printList(res);

return 0;
}``````

Output :

```Merged Linked List is:
2 3 5 10 15 20
```

Method 2 (Using Local References)
This solution is structurally very similar to the above, but it avoids using a dummy node. Instead, it maintains a struct node** pointer, lastPtrRef, that always points to the last pointer of the result list. This solves the same case that the dummy node did — dealing with the result list when it is empty. If you are trying to build up a list at its tail, either the dummy node or the struct node** “reference” strategy can be used (see Section 1 for details).

C Programming:
``````struct node* SortedMerge(struct node* a, struct node* b)
{
struct node* result = NULL;

/* point to the last result pointer */
struct node** lastPtrRef = &result;

while(1)
{
if (a == NULL)
{
*lastPtrRef = b;
break;
}
else if (b==NULL)
{
*lastPtrRef = a;
break;
}
if(a->data <= b->data)
{
MoveNode(lastPtrRef, &a);
}
else
{
MoveNode(lastPtrRef, &b);
}

/* tricky: advance to point to the next ".next" field */
lastPtrRef = &((*lastPtrRef)->next);
}
return(result);
}``````

Method 3 (Using Recursion)
Merge is one of those nice recursive problems where the recursive solution code is much cleaner than the iterative code. You probably wouldn’t want to use the recursive version for production code however, because it will use stack space which is proportional to the length of the lists.

READ  Java Programming - Write a function to get Nth node in a Linked List

C Programming:

``````struct node* SortedMerge(struct node* a, struct node* b)
{
struct 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);
}`````` #### Venkatesan Prabu

Wikitechy Founder, Author, International Speaker, and Job Consultant. My role as the CEO of Wikitechy, I help businesses build their next generation digital platforms and help with their product innovation and growth strategy. I'm a frequent speaker at tech conferences and events.

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