leetcode(14)-合并k个排序链表
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合并?k?个排序链表,返回合并后的排序链表。请分析和描述算法的复杂度。
示例:
#输入:
[
? 1->4->5,
? 1->3->4,
? 2->6
]
#输出:
1->1->2->3->4->4->5->6
链接:https://leetcode-cn.com/problems/merge-k-sorted-lists
自己的思路
在k个链表中找到一个比较节点,然后把k个链表分成两部分,一部分都比比较节点小,一部分都比比较节点大,然后递归。
但是时间太慢了,原因一个是,找到的比较节点越靠近中位数越好,但是不好操作,第二个就是分成两部分的时候要查找,只能顺序查找。(变成数组也许会好一点,二分)
import random
class Solution:
def mergeKLists(self, lists)-> ListNode:
lists = [list for list in lists if list is not None]
if len(lists)==0:
return None
num = len(lists)
i = random.randint(0,num-1)
com_node = lists[i]
com_val = lists[i].val
lists[i] = lists[i].next
lists_1 = []
for j in range(num):
if i!=j:
head = lists[j]
tail = None
while lists[j].val<=com_val:
tail = lists[j]
lists[j] = lists[j].next
if lists[j] is None:
break
if tail is not None:
tail.next = None
lists_1.append(head)
list_1 = self.mergeKLists(lists_1)
list_2 = self.mergeKLists(lists)
if list_1 is not None:
head = list_1
while True:
if list_1.next is not None:
list_1 = list_1.next
else:
list_1.next = com_node
break
else:
head = com_node
com_node.next = list_2
return head
官方思路1-分治法
每次合并两个链表,合并一次之后剩余k/2,再合并一次剩余k/4。时间复杂度(NlogK)
class Solution(object):
def mergeKLists(self, lists):
"""
:type lists: List[ListNode]
:rtype: ListNode
"""
amount = len(lists)
interval = 1
while interval < amount:
for i in range(0, amount - interval, interval * 2):
lists[i] = self.merge2Lists(lists[i], lists[i + interval])
interval *= 2
return lists[0] if amount > 0 else lists
def merge2Lists(self, l1, l2):
head = point = ListNode(0)
while l1 and l2:
if l1.val <= l2.val:
point.next = l1
l1 = l1.next
else:
point.next = l2
l2 = l1
l1 = point.next.next
point = point.next
if not l1:
point.next=l2
else:
point.next=l1
return head.next
官方题解2-用优先队列优化
from queue import PriorityQueue
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def __lt__(self, other):
return self.val<other.val
class Solution(object):
def mergeKLists(self, lists):
"""
:type lists: List[ListNode]
:rtype: ListNode
"""
head = point = ListNode(0)
q = PriorityQueue()
for l in lists:
if l:
q.put((l.val, l))
while not q.empty():
val, node = q.get()
point.next = ListNode(val)
point = point.next
node = node.next
if node:
q.put((node.val, node))
return head.next
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