我同意其他答案，你应该支持x / 2，因为它的意图更清楚，编译器应该为你优化它。

然而，选择x / 2而不是x >> 1的另一个原因是，如果x是一个有符号int并且是负的，那么>>的行为是依赖于实现的。

ISO C99标准第6.5.7节第5项:

E1 >> E2的结果是E1位右移E2位位置。如果E1 无符号类型，或者E1有符号类型且值为非负值， 结果值为E1 /商的积分部分 2 e2。如果E1具有符号类型和负值，则结果值为 是由实现定义的。

使用最能描述您要做的事情的操作。

如果你将数字作为一个比特序列来处理，请使用bitshift。 如果你把它当作一个数值，使用除法。

请注意，它们并不完全相等。对于负整数，它们可以给出不同的结果。例如:

-5 / 2  = -2
-5 >> 1 = -3

(ideone)

让你的意图更清楚……例如，如果你想除法，使用x / 2，并让编译器将其优化为shift运算符(或其他任何运算符)。

今天的处理器不会让这些优化对程序的性能产生任何影响。

X = X / 2;是合适的代码使用..但是一个操作取决于你自己的程序，你想要产生怎样的输出。

这个问题的答案取决于你工作的环境。

If you're working on an 8-bit microcontroller or anything without hardware support for multiplication, bit shifting is expected and commonplace, and while the compiler will almost certainly turn x /= 2 into x >>= 1, the presence of a division symbol will raise more eyebrows in that environment than using a shift to effect a division. If you're working in a performance-critical environment or section of code, or your code could be compiled with compiler optimization off, x >>= 1 with a comment explaining its reasoning is probably best just for clarity of purpose. If you're not under one of the above conditions, make your code more readable by simply using x /= 2. Better to save the next programmer who happens to look at your code the 10 second double-take on your shift operation than to needlessly prove you knew the shift was more efficient sans compiler optimization.

所有这些假设都是无符号整数。简单的移位可能不是你想要的符号。此外，DanielH提出了一个关于在ActionScript等特定语言中使用x *= 0.5的好观点。

我想说有几件事需要考虑。

Bitshift should be faster, as no special computation is really needed to shift the bits, however as pointed out, there are potential issues with negative numbers. If you are ensured to have positive numbers, and are looking for speed then I would recommend bitshift. The division operator is very easy for humans to read. So if you are looking for code readability, you could use this. Note that the field of compiler optimization has come a long way, so making code easy to read and understand is good practice. Depending on the underlying hardware, operations may have different speeds. Amdal's law is to make the common case fast. So you may have hardware that can perform different operations faster than others. For example, multiplying by 0.5 may be faster than dividing by 2. (Granted you may need to take the floor of the multiplication if you wish to enforce integer division).

如果您追求的是纯粹的性能，我建议您创建一些可以执行数百万次操作的测试。对执行进行多次采样(您的样本量)，以确定哪一个在统计上最适合您的操作系统/硬件/编译器/代码。