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215. Kth Largest Element in an Array

2024-09-22 07:22:04   203人阅读

 

用heap解，

方法1. 维护一个 size = k 的最小堆。当前元如果大于堆顶的元素，那么说明堆顶的元素肯定小于kth largest element。所以replace他。

 1 class Solution(object):
 2     def findKthLargest(self, nums, k):
 3         """
 4         :type nums: List[int]
 5         :type k: int
 6         :rtype: int
 7         """
 8         heap = []
 9         res = 0
10         
11         for i in range(len(nums)):
12             if i < k:
13                 heapq.heappush(heap, nums[i])
14             else:
15                 if heap[0] < nums[i]:
16                     heapq.heapreplace(heap, nums[i])
17             
18  
19         return heap[0]

或者维护一个-nums的最小堆，从heap pop出第k个元素。那么这个数就是 -nums的第k小元素，也就是nums的第k大元素。

class Solution(object):
    def findKthLargest(self, nums, k):
        """
        :type nums: List[int]
        :type k: int
        :rtype: int
        """
        heap = []
        res = 0
        
        for i in range(len(nums)):
            heapq.heappush(heap, -nums[i])
        
        for j in range(k):
            res = -heapq.heappop(heap)
            
        return res

 

215. Kth Largest Element in an Array


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