You are given the heads of two singly linked-lists headA and headB, return the node at which the two lists intersect. If the two linked lists have no intersection at all, return null.
Note that the linked lists must retain their original structure after the function returns.
Custom Judge:
The inputs to the judge are given as follows (your program is not given these inputs):
intersectVal - The value of the node where the intersection occurs. This is 0 if there is no intersected node.listA - The first linked list.listB - The second linked list.skipA - The number of nodes to skip ahead in listA (starting from the head) to get to the intersected node.skipB - The number of nodes to skip ahead in listB (starting from the head) to get to the intersected node.The judge will then create the linked structure based on these inputs and pass the two heads, headA and headB to your program. If you correctly return the intersected node, then your solution will be accepted.
Example 1:
Input: intersectVal = 8, listA = [4,1,8,4,5], listB = [5,6,1,8,4,5], skipA = 2, skipB = 3
Output: 8Example 2:
Input: intersectVal = 0, listA = [2,6,4], listB = [1,5], skipA = 3, skipB = 2
Output: nullConstraints:
listA is in the m.listB is in the n.1 <= m, n <= 30,0001 <= Node.val <= 100,0000 <= skipA <= m0 <= skipB <= n0 if listA and listB do not intersect.intersectVal == listA[skipA] == listB[skipB] if listA and listB intersect.Follow up: Could you write a solution that runs in O(m + n) time and use only O(1) memory?
Before attempting this problem, you should be comfortable with:
The most straightforward approach is to check every node in the first list against every node in the second list. If two nodes are the same object (not just equal values), we found the intersection point. This works because intersection means the lists share actual node references, not just duplicate values.
headA and traverse the first list.null.# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
while headA:
cur = headB
while cur:
if headA == cur:
return headA
cur = cur.next
headA = headA.next
return NoneWhere is the length of the first list and is the length of the second list.
We can use a hash set to store all nodes from the first list. Then, as we traverse the second list, we check if each node exists in the set. The first node found in the set is the intersection point since it is the earliest shared node.
null if no intersection exists.# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
nodeSet = set()
cur = headA
while cur:
nodeSet.add(cur)
cur = cur.next
cur = headB
while cur:
if cur in nodeSet:
return cur
cur = cur.next
return NoneWhere is the length of the first list and is the length of the second list.
If the two lists have different lengths, the intersection point is at the same distance from the end of both lists. By computing the lengths and advancing the pointer on the longer list by the difference, we align the two pointers. Then we move both forward together until they meet at the intersection or reach the end.
m and n of both lists.|m - n| nodes.null, return null.# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
def getLength(head):
length, cur = 0, head
while cur:
length += 1
cur = cur.next
return length
m = getLength(headA)
n = getLength(headB)
l1, l2 = headA, headB
if m < n:
m, n = n, m
l1, l2 = headB, headA
while m - n:
m -= 1
l1 = l1.next
while l1 != l2:
l1 = l1.next
l2 = l2.next
return l1Where is the length of the first list and is the length of the second list.
A clever approach avoids computing lengths explicitly. Two pointers start at the heads of each list. When a pointer reaches the end, it jumps to the head of the other list. After at most m + n steps, both pointers will have traversed the same total distance. If an intersection exists, they will meet there; otherwise, they both reach null simultaneously.
l1 = headA and l2 = headB.l1 != l2:l1 is null, set l1 = headB; otherwise advance l1.l2 is null, set l2 = headA; otherwise advance l2.l1 (which equals l2), the intersection node or null.# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> Optional[ListNode]:
l1, l2 = headA, headB
while l1 != l2:
l1 = l1.next if l1 else headB
l2 = l2.next if l2 else headA
return l1Where is the length of the first list and is the length of the second list.
Intersection means the lists share the same node object, not just nodes with equal values. Using nodeA.val == nodeB.val will give false positives. You must compare node references directly (nodeA == nodeB or nodeA === nodeB in JavaScript) to correctly identify shared nodes.
When two lists do not intersect, the two-pointer approach naturally terminates when both pointers become null simultaneously. However, some implementations create infinite loops by not properly handling the case where pointers should redirect to the other list's head. Ensure your loop condition checks for pointer equality including the null == null case.
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