Merge k Sorted Lists 104
Question
Merge k sorted linked lists and return it as one sorted list.
Analyze and describe its complexity.
Example
Given lists:
[ 2->4->null, null, -1->null ],
return -1->2->4->null.
Solution
这道题可以用3种方法解。
第一种方法:D&C。总共有n条sorted list,将前n/2条进行合并,将后n/2条进行合并,再将左右进行合并。
第二种方法:merge 2 by 2。和第一种方法类似,两条两条merge,比如1-2,3-4,。。。,将merge完的加入到新的lists中。如果n为奇数,最后一条没法和下一条merge,直接加入到新lists中。一直这样两两merge直到只剩下1条为止。
第三种方法:用PriorityQueue(heap)实现。将每个list的开头node加入pq中,根据node的value大小从小到大排序。然后将队头元素(最小元素)出队,并将该元素的next元素入队。一直重复,直到队列为空为止。
代码如下:
/**
* Definition for ListNode.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int val) {
* this.val = val;
* this.next = null;
* }
* }
*/
public class Solution {
/**
* @param lists: a list of ListNode
* @return: The head of one sorted list.
*/
//version1: D&C
/*
private ListNode merge(ListNode left, ListNode right){
ListNode dummy = new ListNode(0);
ListNode head = dummy;
while(left != null && right != null){
if(left.val < right.val){
head.next = left;
left = left.next;
}else{
head.next = right;
right = right.next;
}
head = head.next;
}
if(left != null){
head.next = left;
}
if(right != null){
head.next = right;
}
return dummy.next;
}
public ListNode mergeKLists(List<ListNode> lists) {
// write your code here
if(lists == null || lists.size() == 0){
return null;
}
if(lists.size() == 1){
return lists.get(0);
}
int size = lists.size();
List<ListNode> leftLists = new ArrayList<ListNode>();
List<ListNode> rightLists = new ArrayList<ListNode>();
for(int i = 0; i < size; i++){
if(i < size/2){
leftLists.add(lists.get(i));
}else{
rightLists.add(lists.get(i));
}
}
ListNode left = mergeKLists(leftLists);
ListNode right = mergeKLists(rightLists);
return merge(left, right);
}*/
/*
//version2: merge 2 by 2
public ListNode mergeKLists(List<ListNode> lists) {
// write your code here
if(lists == null || lists.size() == 0){
return null;
}
while(lists.size() > 1){
List<ListNode> newLists = new ArrayList<ListNode>();
for(int i = 0; i < lists.size() - 1; i++){
if(i % 2 == 0){
ListNode node = merge(lists.get(i), lists.get(i + 1));
newLists.add(node);
}
}
if(lists.size() % 2 != 0){
newLists.add(lists.get(lists.size() - 1));
}
lists = newLists;
}
return lists.get(0);
}
private ListNode merge(ListNode left, ListNode right){
ListNode dummy = new ListNode(0);
ListNode head = dummy;
while(left != null && right != null){
if(left.val < right.val){
head.next = left;
left = left.next;
}else{
head.next = right;
right = right.next;
}
head = head.next;
}
if(left != null){
head.next = left;
}
if(right != null){
head.next = right;
}
return dummy.next;
}
*/
//ListNode[] heapArray;
//heapsort version
private Comparator<ListNode> ListNodeComparator = new Comparator<ListNode>() {
public int compare(ListNode left, ListNode right) {
// if (left == null) {
// return 1;
// } else if (right == null) {
// return -1;
// }
return left.val - right.val;
}
};
public ListNode mergeKLists(List<ListNode> lists) {
if (lists == null || lists.size() == 0) {
return null;
}
Queue<ListNode> heap = new PriorityQueue<ListNode>(lists.size(), ListNodeComparator);
for (int i = 0; i < lists.size(); i++) {
if (lists.get(i) != null) {
heap.add(lists.get(i));
}
}
ListNode dummy = new ListNode(0);
ListNode tail = dummy;
while (!heap.isEmpty()) {
ListNode head = heap.poll();
tail.next = head;
tail = head;
if (head.next != null) {
heap.add(head.next);
}
}
return dummy.next;
}
}