中点公式溢出错误 [英] Midpoint Formula Overflow Error

查看:123
本文介绍了中点公式溢出错误的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在学习算法/大o,我对此很好奇。

I'm learning algorithms/big o and i was just curious about this.

使用

 mid = (low+high)/2;

以获取二进制搜索算法的中点,因为可能会发生溢出错误。

in order to get the midpoint for a binary search algorithm is generally discouraged because of the possibility of an overflow error. Why would this cause an overflow error to occur, and how does

 mid = low + (high-low)/2;

预防此错误?

谢谢。

推荐答案

在第一种情况下,您计算的值(低+高)可能太大而无法容纳为int值,如果低和高都足够大(例如,如果两者都等于2 ^ 30 + 1 /甚至更大/)。在第二种情况下,您无需进行计算(低+高),而是做一个小技巧,然后遍历表达式(高-低),该表达式相对于int溢出要安全得多。

In the first case you calculate the value (low+high) which might be too huge to fit into an int, if low and high are both huge enough (say if both are equal to 2^30+1 /or even greater/). In the second case, you don't calculate (low+high), you do a small trick and you go through the expression (high-low) and that expression is much safer with respect to int overflow.

不过,如果您没有大小大于2 ^ 30的数组(无论如何,这都是一个很大的数组),我不知道您如何即使使用第一个表达式,也可能会遇到int溢出。因此,在大多数情况下,我只会使用第一个而不用担心。

Still, if you don't have an array whose size is greater than 2^30 (which is quite a huge array anyway), I don't see how you can run into an int overflow even when using the first expression. So I would just use the first one in most cases and not worry.

这篇关于中点公式溢出错误的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆