Problem Description
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
Example 1: Input: list1 = [1,2,4], list2 = [1,3,4] Output: [1,1,2,3,4,4] Example 2: Input: list1 = [], list2 = [] Output: [] Example 3: Input: list1 = [], list2 = [0] Output: [0]
Python Solution
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
def mergeTwoLists(list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
dummy = ListNode(0)
current = dummy
while list1 and list2:
if list1.val <= list2.val:
current.next = list1
list1 = list1.next
else:
current.next = list2
list2 = list2.next
current = current.next
current.next = list1 if list1 else list2
return dummy.next
Java Solution
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode() {}
* ListNode(int val) { this.val = val; }
* ListNode(int val, ListNode next) { this.val = val; this.next = next; }
* }
*/
class Solution {
public ListNode mergeTwoLists(ListNode list1, ListNode list2) {
ListNode dummy = new ListNode(0);
ListNode current = dummy;
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;
}
current.next = list1 != null ? list1 : list2;
return dummy.next;
}
}
C++ Solution
/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* ListNode *next;
* ListNode() : val(0), next(nullptr) {}
* ListNode(int x) : val(x), next(nullptr) {}
* ListNode(int x, ListNode *next) : val(x), next(next) {}
* };
*/
class Solution {
public:
ListNode* mergeTwoLists(ListNode* list1, ListNode* list2) {
ListNode* dummy = new ListNode(0);
ListNode* current = dummy;
while (list1 && list2) {
if (list1->val <= list2->val) {
current->next = list1;
list1 = list1->next;
} else {
current->next = list2;
list2 = list2->next;
}
current = current->next;
}
current->next = list1 ? list1 : list2;
ListNode* result = dummy->next;
delete dummy;
return result;
}
};
JavaScript Solution
/**
* Definition for singly-linked list.
* function ListNode(val, next) {
* this.val = (val===undefined ? 0 : val)
* this.next = (next===undefined ? null : next)
* }
*/
/**
* @param {ListNode} list1
* @param {ListNode} list2
* @return {ListNode}
*/
var mergeTwoLists = function(list1, list2) {
const dummy = new ListNode(0);
let current = dummy;
while (list1 && list2) {
if (list1.val <= list2.val) {
current.next = list1;
list1 = list1.next;
} else {
current.next = list2;
list2 = list2.next;
}
current = current.next;
}
current.next = list1 || list2;
return dummy.next;
};
C# Solution
/**
* Definition for singly-linked list.
* public class ListNode {
* public int val;
* public ListNode next;
* public ListNode(int val=0, ListNode next=null) {
* this.val = val;
* this.next = next;
* }
* }
*/
public class Solution {
public ListNode MergeTwoLists(ListNode list1, ListNode list2) {
ListNode dummy = new ListNode(0);
ListNode current = dummy;
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;
}
current.next = list1 != null ? list1 : list2;
return dummy.next;
}
}
Complexity Analysis
- Time Complexity: O(n + m) where n and m are the lengths of the input lists
- Space Complexity: O(1) as we only use a constant amount of extra space
Solution Explanation
This solution uses an iterative approach to merge two sorted lists. Here's how it works:
- Create a dummy node to handle edge cases and simplify the code
- Use a current pointer to build the merged list
- Compare nodes from both lists:
- Take the smaller value and add it to the merged list
- Move the pointer of the list we took the node from
- After one list is exhausted, append the remaining nodes from the other list
Key points:
- Dummy node simplifies handling the head of the merged list
- The solution maintains the sorted order of the input lists
- No extra space is needed as we reuse the existing nodes
- The solution handles edge cases (empty lists) properly