Intersection of Two Linked Lists⚓︎
Description⚓︎
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
.
For example, the following two linked lists begin to intersect at node c1
:
The test cases are generated such that there are no cycles anywhere in the entire linked structure.
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 is0
if there is no intersected node.listA
- The first linked list.listB
- The second linked list.skipA
- The number of nodes to skip ahead inlistA
(starting from the head) to get to the intersected node.skipB
- The number of nodes to skip ahead inlistB
(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: Intersected at
'8'
- Explanation:
- The intersected node's value is 8 (note that this must not be 0 if the two lists intersect). From the head of A, it reads as
[4,1,8,4,5]
. From the head of B, it reads as[5,6,1,8,4,5]
. There are 2 nodes before the intersected node in A; There are 3 nodes before the intersected node in B. - Note that the intersected node's value is not 1 because the nodes with value 1 in A and B (2nd node in A and 3rd node in B) are different node references. In other words, they point to two different locations in memory, while the nodes with value 8 in A and B (3rd node in A and 4th node in B) point to the same location in memory.
- The intersected node's value is 8 (note that this must not be 0 if the two lists intersect). From the head of A, it reads as
Example 2:
- Input:
intersectVal = 2, listA = [1,9,1,2,4], listB = [3,2,4], skipA = 3, skipB = 1
- Output: Intersected at
'2'
- Explanation:
- The intersected node's value is 2 (note that this must not be 0 if the two lists intersect).
- From the head of A, it reads as
[1,9,1,2,4]
. From the head of B, it reads as[3,2,4]
. There are 3 nodes before the intersected node in A; There are 1 node before the intersected node in B.
Example 3:
- Input:
intersectVal = 0, listA = [2,6,4], listB = [1,5], skipA = 3, skipB = 2
- Output: No intersection
- Explanation:
- From the head of A, it reads as
[2,6,4]
. From the head of B, it reads as[1,5]
. Since the two lists do not intersect, intersectVal must be 0, while skipA and skipB can be arbitrary values. - Explanation: The two lists do not intersect, so return null.
- From the head of A, it reads as
Constraints:
- The number of nodes of
listA
is in them
. - The number of nodes of
listB
is in then
. 1 <= m, n <= 3 * 10^4
1 <= Node.val <= 10^5
0 <= skipA < m
0 <= skipB < n
intersectVal
is0
iflistA
andlistB
do not intersect.intersectVal == listA[skipA] == listB[skipB]
iflistA
andlistB
intersect.
Solution⚓︎
Classical Solution⚓︎
- Given two linked lists,
currA
points to the head of list A andcurrB
points to the head of list B. - We find the lengths of the two lists, and the difference between the two lists, and then we move
currA
to a position where it is aligned with the end ofcurrB
. - At this point we can compare
currA
andcurrB
to see if they are the same, if they are not the same, we movecurrA
andcurrB
backward at the same time, and if we encountercurrA == currB
, then we find the intersection point. - Otherwise, the loop exits and returns the null pointer.
If one list is longer than the other, the algorithm advances the pointer in the longer list by the difference in lengths. This ensures that when you traverse both lists in the following steps, you traverse an equal number of nodes until the end of the lists.
- Time complexity: \(O(n+m)\);
- Space complexity: \(O(1)\).
More Elegant Way⚓︎
Algorithm steps:
- Scan with two pointers starting at the head of each of the two linked lists, taking one step each time;
- If the pointers go to
null
, start from the head of the other linked table; - When the two pointers are the same:
- If the pointer is not
null
, the pointer position is the meeting point; - If the pointer is
null
, the two linked lists do not intersect.
Code with comments: