How to implement incremental sorting linked list merging in Java
This article mainly introduces Java programming to realize the merging of ascending sorted linked lists, two methods, and the code is shared with everyone for reference by friends in need.
Problem description
Input two monotonically increasing linked lists, and output the combined linked list of the two linked lists. Of course, we need the combined linked list to satisfy monotonic incompatibility. minus rule.
Answer:
/* public class ListNode { int val; ListNode next = null; ListNode(int val) { this.val = val; } }*/ public class Solution { public ListNode Merge(ListNode list1,ListNode list2) { if(list1==null)return list2; //判断到某个链表为空就返回另一个链表。如果两个链表都为空呢?没关系,这时候随便返回哪个链表,不也是空的吗? if(list2==null)return list1; ListNode list0=null;//定义一个链表作为返回值 if(list1.val<list2.val){//判断此时的值,如果list1比较小,就先把list1赋值给list0,反之亦然 list0=list1; list0.next=Merge(list1.next, list2);//做递归,求链表的下一跳的值 } else{ list0=list2; list0.next=Merge(list1, list2.next); } return list0; } }
To simplify, use the ternary operator:
public class Solution { public ListNode Merge(ListNode list1,ListNode list2) { if(list1==null) return list2; if(list2==null) return list1; ListNode head; list0= list1.val>list2.val?list2:list1; list0.next = list1.val>list2.val?Merge(list1,list2.next):Merge(list1.next,list2); return list0; } }
It is said that this question is often tested during interviews, because it has two solutions, recursive and non-recursive, like the Fibonacci sequence problem. The recursive solution is mentioned above, and the non-recursive solution will be discussed below. Recursive solution:
/* public class ListNode { int val; ListNode next = null; ListNode(int val) { this.val = val; } }*/ public class Solution { public ListNode Merge(ListNode list1,ListNode list2) { if(list1 == null) return list2; if(list2 == null ) return list1; ListNode tmp1 = list1; ListNode tmp2 = list2; ListNode head = new ListNode(0); //这里不能把返回链表赋值为null,因为下一行马上就要把它赋值给另一链表,得让它在内存里有位置才行 ListNode headptr = head; while(tmp1 != null && tmp2!=null){ if(tmp1.val <= tmp2.val) { head.next=tmp1; head = head.next; tmp1 = tmp1.next; } else{ head.next=tmp2; head = head.next; tmp2=tmp2.next; } } //其中一个链表已经跑到头之后,继续单链表的合并 while(tmp1 != null){ head.next = tmp1; head = head.next; tmp1= tmp1.next; } while(tmp2 != null){ head.next = tmp2; head = head.next; tmp2= tmp2.next; } head = headptr.next; return head; } }
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