leetcode-477-Total Hamming Distance

本文探讨了如何通过计算每对数组中不同位的数量来优化算法复杂度,避免使用O(n^2)的时间复杂度。具体方法是积累每比特位的不同数量,并计算总数组合,从而等效于计算每对数的不同位。更新内容包括使用基数排序时的注意事项。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

Instead of counting different of the pair of array which has O(n^2) time complexity, we decide to count different of each bit, i.e. accumulate different of each bit. More specify, res += (n - count) * count.

Why it works?

for each bit, we are counting the total combination, e.g. in first bit, we have first and second number has 0 bit and third number has 1 bit, so the total combination is 2 * 1(first&third, second&third). It is equal to count the pair of each number.


update:
radix sort, remember, DO NOT judge bit & to 1 explicitly, i.e., do write ((x & 1) == 1)

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值