题目要求 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 You are given a doubly linked list which in addition to the next and previous pointers, it could have a child pointer, which may or may not point to a separate doubly linked list. These child lists may have one or more children of their own, and so on, to produce a multilevel data structure, as shown in the example below. Flatten the list so that all the nodes appear in a single-level, doubly linked list. You are given the head of the first level of the list. Example: Input: 1---2---3---4---5---6--NULL | 7---8---9---10--NULL | 11--12--NULL Output: 1-2-3-7-8-11-12-9-10-4-5-6-NULL
思路一:递归实现深度优先遍历 从深度优先遍历的角度来看,每次遇到一个包含子节点中间双链表节点,就递归的调用展开方法将其展开,并将展开的结果插入到当前节点的后面。这里需要注意双链表前节点前后指针的变更。步骤如下:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Step1: 1---2---3---4---5---6--NULL | 7---8---9---10--NULL | 11--12--NULL Step2: 1---2---3---4---5---6--NULL | 7---8---11--12--9---10--NULL Step3: 1---2---3---7---8---11--12--9---10--4---5---6--NULL
代码如下:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 public Node flatten (Node head) { if (head == null ) return head; Node tmp = head; while (tmp != null ) { if (tmp.child != null ) { Node child = flatten(tmp.child); tmp.child = null ; Node next = tmp.next; tmp.next = child; child.prev = tmp; while (child.next != null ) { child = child.next; } child.next = next; if (next != null ) { next.prev = child; } tmp = next; }else { tmp = tmp.next; } } return head; }
思路二:循环 上面的思路同样可以通过循环的方式来解决。每遇到一个有子节点的双链表节点,就将其子节点的头和尾拼接到父节点的双链表上,使其看上去是一个新的双链表。再对双链表的下一个节点进行判断。基本步骤如下:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Step1: 1---2---3---4---5---6--NULL | 7---8---9---10--NULL | 11--12--NULL Step2: 1---2---3---7---8---9---10---4---5---6--NULL | 11--12--NULL Step3: 1---2---3---7---8---11--12--9---10--4---5---6--NULL
代码如下:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 public Node flatten (Node head) { if (head == null ) return null ; Node tmp = head; while (tmp != null ) { if (tmp.child != null ) { Node child = tmp.child; tmp.child = null ; Node next = tmp.next; tmp.next = child; child.prev = tmp; while (child.next != null ) { child = child.next; } if (next != null ) { child.next = next; next.prev = child; } } tmp = tmp.next; } return head; }
思路3:减少遍历次数 之前的两种思路,都会出现大量的重复遍历,重复遍历和叶子节点的深度成正相关,可以想方法将重复遍历的次数减少。其实,我们可以看见,无论我们何时将子节点展开,并拼接回父节点的双链表中,子节点展开的双链表的头结点是固定的,并且可以用父节点访问到。而尾节点必须通过重复遍历来查找并拼接。因此,如果每次都将展开后的尾节点返回,就可以无需重复遍历将展开的子节点拼接回父节点。代码如下:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 public Node flatten (Node head) { flattenAndReturnTail(head); return head; } public Node flattenAndReturnTail (Node head) { if (head == null ) return null ; if (head.child == null ) { if (head.next == null ) return head; return flattenAndReturnTail(head.next); }else { Node child = head.child; head.child = null ; Node next = head.next; Node childTail = flatten(child); head.next = child; child.prev = head; if (next != null ) { childTail.next = next; next.prev = childTail; return flattenAndReturnTail(next); } return childTail; } }