我想要一个函数为负数返回-1,为正数返回+1。 http://en.wikipedia.org/wiki/Sign_function 我自己编写它很容易,但它似乎应该存在于某个标准库中。

编辑:具体来说,我正在寻找一个函数工作在浮动。


当前回答

似乎大多数答案都忽略了最初的问题。

在C/ c++中是否存在标准符号函数(signum, sgn) ?

在标准库中没有,但是有一个copysign可以通过copysign(1.0, arg)以几乎相同的方式使用,在boost中有一个真正的符号函数,它也可能是标准的一部分。

    #include <boost/math/special_functions/sign.hpp>

    //Returns 1 if x > 0, -1 if x < 0, and 0 if x is zero.
    template <class T>
    inline int sign (const T& z);

其他回答

为什么使用三元操作符和if-else,当你可以简单地这样做

#define sgn(x) x==0 ? 0 : x/abs(x)

我的《C in a Nutshell》揭示了一个叫做copysign的标准函数的存在,它可能很有用。看起来,copyysign(1.0, -2.0)将返回-1.0,而copyysign(1.0, 2.0)将返回+1.0。

很接近吧?

类型安全的c++版本:

template <typename T> int sgn(T val) {
    return (T(0) < val) - (val < T(0));
}

好处:

Actually implements signum (-1, 0, or 1). Implementations here using copysign only return -1 or 1, which is not signum. Also, some implementations here are returning a float (or T) rather than an int, which seems wasteful. Works for ints, floats, doubles, unsigned shorts, or any custom types constructible from integer 0 and orderable. Fast! copysign is slow, especially if you need to promote and then narrow again. This is branchless and optimizes excellently Standards-compliant! The bitshift hack is neat, but only works for some bit representations, and doesn't work when you have an unsigned type. It could be provided as a manual specialization when appropriate. Accurate! Simple comparisons with zero can maintain the machine's internal high-precision representation (e.g. 80 bit on x87), and avoid a premature round to zero.

警告:

It's a template so it might take longer to compile in some circumstances. Apparently some people think use of a new, somewhat esoteric, and very slow standard library function that doesn't even really implement signum is more understandable. The < 0 part of the check triggers GCC's -Wtype-limits warning when instantiated for an unsigned type. You can avoid this by using some overloads: template <typename T> inline constexpr int signum(T x, std::false_type is_signed) { return T(0) < x; } template <typename T> inline constexpr int signum(T x, std::true_type is_signed) { return (T(0) < x) - (x < T(0)); } template <typename T> inline constexpr int signum(T x) { return signum(x, std::is_signed<T>()); } (Which is a good example of the first caveat.)

这是一个分支友好的实现:

inline int signum(const double x) {
    if(x == 0) return 0;
    return (1 - (static_cast<int>((*reinterpret_cast<const uint64_t*>(&x)) >> 63) << 1));
}

除非你的数据有一半是0,否则分支预测器会选择一个最常见的分支。两个分支都只涉及简单的操作。

另外,在一些编译器和CPU架构上,完全无分支的版本可能更快:

inline int signum(const double x) {
    return (x != 0) * 
        (1 - (static_cast<int>((*reinterpret_cast<const uint64_t*>(&x)) >> 63) << 1));
}

这适用于IEEE 754双精度二进制浮点格式:binary64。

有一种不用分支的方法,但不太好。

sign = -(int)((unsigned int)((int)v) >> (sizeof(int) * CHAR_BIT - 1));

http://graphics.stanford.edu/~seander/bithacks.html

那一页上还有很多其他有趣的、过于聪明的东西……