How to Fix Kth Largest Element in Array Errors

In this tutorial, you'll learn about How to Fix Kth Largest Element in Array Errors. We cover key concepts, practical examples, and best practices.

Fix kth largest element in array errors when heap misuse when building entire heap instead of maintaining size k min-heap.

Quick Fix

Wrong

def kth_largest(n,k):
    n.sort()
    return n[-k]

O(n log n) sort. Doesn't leverage partial ordering.

Right

import heapq
def kth_largest(n,k):
    h=n[:k]; heapq.heapify(h)
    for x in n[k:]:
        if x>h[0]: heapq.heapreplace(h,x)
    return h[0]

[3,2,1,5,6,4], k=2 -> 5. O(n log k).

Prevention

Maintain min-heap of size k. Larger elements replace smallest in heap.

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