160. Intersection of Two Linked Lists

本文介绍了一种在不增加额外空间复杂度的情况下找到两个单链表交汇节点的方法。通过使用两个指针分别从两个链表头开始遍历,并在到达链表尾部时转向另一个链表,最终会在交汇节点相遇。

Write a program to find the node at which the intersection of two singly linked lists begins.


For example, the following two linked lists:

A:          a1 → a2
                   ↘
                     c1 → c2 → c3
                   ↗            
B:     b1 → b2 → b3

begin to intersect at node c1.


Notes:

  • If the two linked lists have no intersection at all, return null.
  • The linked lists must retain their original structure after the function returns.
  • You may assume there are no cycles anywhere in the entire linked structure.
  • Your code should preferably run in O(n) time and use only O(1) memory.

一道比较经典的问题 求链表交点

如果没有空间复杂度要求的话 可以这样做:

遍历其中一个链表 放入set 遍历第二个 set.contains = true 返回即可

但是要求时间复杂度是O(1) solution比较trick 如下

Two Pointers
  • Maintain two pointers pA and pB initialized at the head of A and B, respectively. Then let them both traverse through the lists, one node at a time.
  • When pA reaches the end of a list, then redirect it to the head of B (yes, B, that's right.); similarly when pB reaches the end of a list, redirect it the head of A.
  • If at any point pA meets pB, then pA/pB is the intersection node.
  • To see why the above trick would work, consider the following two lists: A = {1,3,5,7,9,11} and B = {2,4,9,11}, which are intersected at node '9'. Since B.length (=4) < A.length (=6), pB would reach the end of the merged list first, because pB traverses exactly 2 nodes less than pA does. By redirecting pB to head A, and pA to head B, we now ask pB to travel exactly 2 more nodes than pA would. So in the second iteration, they are guaranteed to reach the intersection node at the same time.
  • If two lists have intersection, then their last nodes must be the same one. So when pA/pB reaches the end of a list, record the last element of A/B respectively. If the two last elements are not the same one, then the two lists have no intersections.

Complexity Analysis

  • Time complexity : O(m+n)O(m+n).
  • Space complexity : O(1)O(1).

public ListNode getIntersectionNode(ListNode headA, ListNode headB) {
    //boundary check
    if(headA == null || headB == null) return null;
    
    ListNode a = headA;
    ListNode b = headB;
    
    //if a & b have different len, then we will stop the loop after second iteration
    while( a != b){
        //for the end of first iteration, we just reset the pointer to the head of another linkedlist
        a = a == null? headB : a.next;
        b = b == null? headA : b.next;    
    }
    
    return a;
}

a,b链表的遍历过程会变为这样:
a1->a2->c1->c2->c3->b1->b2->b3->c1->c2->c3
b1->b2->b3->c1->c2->c3->a1->a2->c1->c2->c3
在第二个c1处汇合

之前纠结于如果没有节点 会不会陷入死循环 实际上是不会的 因为最后会a==b==null 返回null

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