NC66:两个链表的第一个公共结点
两个链表的第一个公共结点
http://www.nowcoder.com/questionTerminal/6ab1d9a29e88450685099d45c9e31e46
解法1:双指针法
创建两个指针p1和p2,分别指向两个链表的头结点,然后依次往后遍历。如果某个指针到达末尾,则将该指针指向另一个链表的头结点;如果两个指针所指的节点相同,则循环结束,返回当前指针指向的节点。比如两个链表分别为:1->3->4->5->6和2->7->8->9->5->6。短链表的指针p1会先到达尾部,然后重新指向长链表头部,当长链表的指针p2到达尾部时,重新指向短链表头部,此时p1在长链表中已经多走了k步(k为两个链表的长度差值),p1和p2位于同一起跑线,往后遍历找到相同节点即可。其实该方法主要就是用链表循环的方式替代了长链表指针先走k步这一步骤。
时间复杂度:O(m+n), m,n分别为链表A,B的长度,
最坏情况下,公共结点为最后一个,需要遍历m+n个结点
空间复杂度:O(1)
public ListNode FindFirstCommonNode(ListNode pHead1, ListNode pHead2) { if(pHead1==null || pHead2==null){ return null; } ListNode p1=pHead1; ListNode p2=pHead2; while(p1!=p2){ p1 = p1==null ? pHead2 : p1.next; p2 = p2==null ? pHead1 : p2.next; } return p1; }
解法2:哈希
使用HashSet,解决有环无环,相交不相交的情况
import java.util.HashSet; /* public class ListNode { int val; ListNode next = null; ListNode(int val) { this.val = val; } }*/ public class Solution { public ListNode FindFirstCommonNode(ListNode pHead1, ListNode pHead2) { if(pHead1==null || pHead2==null){ return null; } HashSet<ListNode> set1=new HashSet<>(); HashSet<ListNode> set2=new HashSet<>(); while(pHead1!=null && !set1.contains(pHead1)){ set1.add(pHead1); pHead1=pHead1.next; } while(pHead2!=null && !set2.contains(pHead2)){ set2.add(pHead2); if(set1.contains(pHead2)){ return pHead2; } pHead2=pHead2.next; } return null; } }
解法3:栈
我们发现,公共部分一定是在尾部,如果我们从后面开始找会更快,最后一个相同点就是我们要找的点,不过这是单向链表,所以我们想到了栈的结构——后进先出
解法4:求差法
其实我们用栈,只是为了想同时能到达两个链表的尾节点。当两链表长度不同时,我们从头开始遍历,到后面的时间就不一致。我们可以先遍历两个链表,得到它们的长度,然后,链表长的先走先走多的几个节点,接着同时在两个链表遍历,找到的第一个相同点就是我们要找的第一个公共点
public class Solution { public ListNode FindFirstCommonNode(ListNode pHead1, ListNode pHead2) { if(pHead1 == null || pHead2 == null) return null; // 求两链表的长度 int count1 = 0; ListNode p1 = pHead1; while(p1 != null) { p1 = p1.next; count1++; } int count2 = 0; ListNode p2 = pHead2; while(p2 != null) { p2 = p2.next; count2++; } // 将长链表的指针移动到和短链表相同长度的位置 int flag = count1-count2; if(flag > 0) { while(flag > 0) { pHead1 = pHead1.next; flag--; } while(pHead1 != pHead2) { pHead1 = pHead1.next; pHead2 = pHead2.next; } return pHead1; } else { flag = -flag; while(flag > 0) { pHead2 = pHead2.next; flag--; } while(pHead1 != pHead2) { pHead1 = pHead1.next; pHead2 = pHead2.next; } return pHead2; } } }
有环思路:较为麻烦
public ListNode FindFirstCommonNode(ListNode pHead1, ListNode pHead2) { if (pHead1 == null || pHead2 == null) { return null; } ListNode loop1 = getLoopNode(pHead1); ListNode loop2 = getLoopNode(pHead2); if (loop1 == null && loop2 == null) { return noLoop(pHead1, pHead2); } if (loop1 != null && loop2 != null) { return bothLoop(pHead1, loop1, pHead2, loop2); } return null; } private ListNode getLoopNode(ListNode pHead) { if (pHead == null || pHead.next == null || pHead.next.next == null) { return null; } ListNode n1 = pHead.next; ListNode n2 = pHead.next.next; while (n1 != n2) { if (n2.next == null || n2.next.next == null) { return null; } n1 = n1.next; n2 = n2.next.next; } n2 = pHead; while (n1 != n2) { n1 = n1.next; n2 = n2.next; } return n1; } private ListNode noLoop(ListNode pHead1, ListNode pHead2) { ListNode cur1 = pHead1; ListNode cur2 = pHead2; int n = 0; while (cur1.next != null) { cur1 = cur1.next; n++; } while (cur2.next != null) { cur2 = cur2.next; n--; } if (cur1 != cur2) { return null; } cur1 = n > 0 ? pHead1 : pHead2; cur2 = cur1 == pHead1 ? pHead2 : pHead1; n = Math.abs(n); while (n != 0) { cur1 = cur1.next; n--; } while (cur1 != cur2) { cur1 = cur1.next; cur2 = cur2.next; } return cur1; } private ListNode bothLoop(ListNode pHead1, ListNode loop1, ListNode pHead2, ListNode loop2) { ListNode cur1 = null; ListNode cur2 = null; if (loop1 == loop2) { //先相交,在共享同一个环 cur1 = pHead1; cur2 = pHead2; int n = 0; while (cur1 != loop1) { cur1 = cur1.next; n++; } while (cur2 != loop2) { cur2 = cur2.next; n--; } cur1 = n > 0 ? pHead1 : pHead2; cur2 = cur1 == pHead1 ? pHead2 : pHead1; n = Math.abs(n); while (n != 0) { cur1 = cur1.next; n--; } while (cur1 != cur2) { cur1 = cur1.next; cur2 = cur2.next; } return cur1; } else { cur1 = loop1.next; while (cur1 != loop1) { if (cur1 == loop2) { //在环的某处相遇 return loop1; } cur1 = cur1.next; } return null; //各自成环 } }
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