这是更有效率?使用POW方或只是与自身相乘呢? [英] What is more efficient? Using pow to square or just multiply it with itself?

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问题描述

这两种方法有什么用C更有效率?又有怎样的:

  POW(X,3)

VS。

  X * X * X //等?


解决方案

我测试之间的性能差异 X * X * ... VS POW(X,I)小型 I 使用此code:

 的#include< cstdlib>
#包括LT&;&CMATH GT;
#包括LT&;升压/ DATE_TIME /了posix_time / posix_time.hpp>内嵌的boost ::了posix_time ::现在分组时间()
{
    返回的boost ::了posix_time :: microsec_clock :: LOCAL_TIME();
}#定义TEST(NUM,前pression)\\
双重考验## NUM(双B,长循环)\\
{\\
    双X = 0.0; \\
\\
    提高::了posix_time ::分组时间的startTime现在=(); \\
    为(长I = 0; I<循环; ++ I)\\
    {\\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
        X + =前pression; \\
    } \\
    提高::了posix_time :: TIME_DURATION经过= NOW() - startTime时; \\
\\
    性病::法院LT&;<经过<< ; \\
\\
    返回X; \\
}试验(1,B)
试验(2,b *的二)
试验(3,B * B * B)
试验(4,B * B * B * B)
试验(5,B * B * B * B * B)模板< INT指数>
双testpow(双基,长循环)
{
    双X = 0.0;    提高::了posix_time ::分组时间的startTime现在=();
    为(长I = 0; I<循环; ++ I)
    {
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
        X + =的std :: POW(基数,指数);
    }
    提高::了posix_time :: TIME_DURATION经过= NOW() - startTime时;    性病::法院LT&;<经过<< ;    返回X;
}诠释的main()
{
    使用std ::法院;
    长循环=亿升;
    双X = 0.0;
    COUT<< 1;
    X + = testpow< 1 GT;(RAND(),循环);
    X + = TEST1(RAND(),循环);    COUT<< \\ N2;
    X + = testpow 2>(RAND(),循环);
    X + = test2的(RAND(),循环);    COUT<< \\ N3
    X + = testpow 3;>(RAND(),循环);
    X + = TEST3(RAND(),循环);    COUT<< \\ N4
    X + = testpow 4;>(RAND(),循环);
    X + = TEST4(RAND(),循环);    COUT<< \\ N5
    X + = testpow小于5>(RAND(),循环);
    X + = TEST5(RAND(),循环);
    COUT<< \\ n<<点¯x所述&;&下; \\ n;
}

结果是:

  1 00:00:01.126008 00:00:01.128338
2 00:00:01.125832 00:00:01.127227
3 00:00:01.125563 00:00:01.126590
4 00:00:01.126289 00:00:01.126086
5 00:00:01.126570 00:00:01.125930
2.45829e + 54

请注意,我每累计战俘计算的结果,以确保编译器不优化它了。

如果我使用的std ::战俘(双,双)版本和循环=百万升,我得到:

  1 00:00:00.011339 00:00:00.011262
2 00:00:00.011259 00:00:00.011254
3 00:00:00.975658 00:00:00.011254
4 00:00:00.976427 00:00:00.011254
5 00:00:00.973029 00:00:00.011254
2.45829e + 52

这是对英特尔的Core Duo运行Ubuntu 9.10 64位。使用gcc 4.4.1 -o2优化编译。

因此​​,在C,是 X * X * X 将会比 POW(X,3)更快,因为没有战俘(双,INT)超载。在C ++中,这将是大致相同的。 (假设在我的测试方法是正确的。)


这是在回应一个Markm发表的意见:

即使是出台了使用命名空间std 指令,如果第二个参数 POW INT ,然后从的std ::战俘(双,INT)超载< CMATH> 将被调用,而不是 ::战俘(双,双)<文件math.h>

此测试code确认行为:

 的#include<&iostream的GT;命名空间富
{    双杆(双X,int i)以
    {
        性病::法院LT&;< 富::酒吧\\ N的;
        返回X *我;
    }
}双杆(双X,双Y)
{
    性病::法院LT&;< ::谷仓;
    返回X * Y;
}使用命名空间富;诠释的main()
{
    双一=巴(1.2,3); //打印富::酒吧
    性病::法院LT&;< A<< \\ n;
    返回0;
}

What of these two methods is in C more efficient? And how about:

pow(x,3)

vs.

x*x*x // etc?

解决方案

I tested the performance difference between x*x*... vs pow(x,i) for small i using this code:

#include <cstdlib>
#include <cmath>
#include <boost/date_time/posix_time/posix_time.hpp>

inline boost::posix_time::ptime now()
{
    return boost::posix_time::microsec_clock::local_time();
}

#define TEST(num, expression) \
double test##num(double b, long loops) \
{ \
    double x = 0.0; \
\
    boost::posix_time::ptime startTime = now(); \
    for (long i=0; i<loops; ++i) \
    { \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
        x += expression; \
    } \
    boost::posix_time::time_duration elapsed = now() - startTime; \
\
    std::cout << elapsed << " "; \
\
    return x; \
}

TEST(1, b)
TEST(2, b*b)
TEST(3, b*b*b)
TEST(4, b*b*b*b)
TEST(5, b*b*b*b*b)

template <int exponent>
double testpow(double base, long loops)
{
    double x = 0.0;

    boost::posix_time::ptime startTime = now();
    for (long i=0; i<loops; ++i)
    {
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
        x += std::pow(base, exponent);
    }
    boost::posix_time::time_duration elapsed = now() - startTime;

    std::cout << elapsed << " ";

    return x;
}

int main()
{
    using std::cout;
    long loops = 100000000l;
    double x = 0.0;
    cout << "1 ";
    x += testpow<1>(rand(), loops);
    x += test1(rand(), loops);

    cout << "\n2 ";
    x += testpow<2>(rand(), loops);
    x += test2(rand(), loops);

    cout << "\n3 ";
    x += testpow<3>(rand(), loops);
    x += test3(rand(), loops);

    cout << "\n4 ";
    x += testpow<4>(rand(), loops);
    x += test4(rand(), loops);

    cout << "\n5 ";
    x += testpow<5>(rand(), loops);
    x += test5(rand(), loops);
    cout << "\n" << x << "\n";
}

Results are:

1 00:00:01.126008 00:00:01.128338 
2 00:00:01.125832 00:00:01.127227 
3 00:00:01.125563 00:00:01.126590 
4 00:00:01.126289 00:00:01.126086 
5 00:00:01.126570 00:00:01.125930 
2.45829e+54

Note that I accumulate the result of every pow calculation to make sure the compiler doesn't optimize it away.

If I use the std::pow(double, double) version, and loops = 1000000l, I get:

1 00:00:00.011339 00:00:00.011262 
2 00:00:00.011259 00:00:00.011254 
3 00:00:00.975658 00:00:00.011254 
4 00:00:00.976427 00:00:00.011254 
5 00:00:00.973029 00:00:00.011254 
2.45829e+52

This is on an Intel Core Duo running Ubuntu 9.10 64bit. Compiled using gcc 4.4.1 with -o2 optimization.

So in C, yes x*x*x will be faster than pow(x, 3), because there is no pow(double, int) overload. In C++, it will be the roughly same. (Assuming the methodology in my testing is correct.)


This is in response to the comment made by An Markm:

Even if a using namespace std directive was issued, if the second parameter to pow is an int, then the std::pow(double, int) overload from <cmath> will be called instead of ::pow(double, double) from <math.h>.

This test code confirms that behavior:

#include <iostream>

namespace foo
{

    double bar(double x, int i)
    {
        std::cout << "foo::bar\n";
        return x*i;
    }


}

double bar(double x, double y)
{
    std::cout << "::bar\n";
    return x*y;
}

using namespace foo;

int main()
{
    double a = bar(1.2, 3); // Prints "foo::bar"
    std::cout << a << "\n";
    return 0;
}

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