在不使用浮点类型的情况下在 C 中构建对数函数 [英] Building a logarithm function in C without using float type

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本文介绍了在不使用浮点类型的情况下在 C 中构建对数函数的处理方法,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

我需要在不使用 float 类型的情况下重写日志函数(基本 2 或基本 10 无关紧要),但我需要得到小数点后几位小数的精度.(就像一个 float * 100 在整数类型中获取 2 小数例如:如果 1.4352 将是结果,我的函数应该返回类似143(int 类型),我知道最后 2 个数字是小数.

I need to rewrite the log function (base 2 or base 10 doesn't matter which) without using float type, but I need to get the precision of few decimal digits after the decimal point. ( like a float * 100 to get 2 decimals inside integer type eg: if the 1.4352 would be the result, my function should return something like 143 (int type) and I know that the last 2 numbers are the decimals.

我在 stackoverflow 上发现了一些方法,例如:

I found over the stackoverflow some methods like:

但它们都返回 int 精度(避免小数).

but all of them returns int precision ( avoiding the decimals ).

我不知道如何解决这个问题,所以问题是:

I have no idea how to approach this so the question is:

如何编码(和或更改)整数 log 实现以支持十进制结果?

How to encode (and or change) integer log implementation to support decimal result?

推荐答案

为此您需要使用定点精度/算术/数学.这意味着您使用整数类型变量,但有些位在小数点之后.

You need to use fixed point precision/arithmetics/math for this. It means you use integer type variables but some of the bits are after the decimal point.

例如假设有 8 个十进制位,所以操作是这样完成的:

for example let assume 8 decimal bits so operations are done like this:

a = number1*256
b = number2*256
c=a+b // +
c=a-b // -
c=(a*b)>>8 // *
c=(a/b)<<8 // /

这里是C++中通过二分查找的简单定点log2示例:

Here simple fixed point log2 example via binary search in C++:

//---------------------------------------------------------------------------
const DWORD _fx32_bits      =32;                            // all bits count
const DWORD _fx32_fract_bits= 8;                            // fractional bits count
const DWORD _fx32_integ_bits=_fx32_bits-_fx32_fract_bits;   // integer bits count
//---------------------------------------------------------------------------
const DWORD _fx32_one       =1<<_fx32_fract_bits;           // constant=1.0 (fixed point)
const DWORD _fx32_fract_mask=_fx32_one-1;                   // fractional bits mask
const DWORD _fx32_integ_mask=0xFFFFFFFF-_fx32_fract_mask;   // integer bits mask
const DWORD _fx32_MSB_mask=1<<(_fx32_bits-1);               // max unsigned bit mask
//---------------------------------------------------------------------------
DWORD bits(DWORD p)             // count how many bits is p
    {
    DWORD m=0x80000000; DWORD b=32;
    for (;m;m>>=1,b--)
     if (p>=m) break;
    return b;
    }
//---------------------------------------------------------------------------
DWORD fx32_mul(DWORD x,DWORD y)
    {
    // this should be done in asm with 64 bit result !!!
    DWORD a=x,b=y;              // asm has access only to local variables
    asm {                       // compute (a*b)>>_fx32_fract
        mov eax,a               // eax=a
        mov ebx,b               // ebx=b
        mul eax,ebx             // (edx,eax)=eax*ebx
        mov ebx,_fx32_one
        div ebx                 // eax=(edx,eax)>>_fx32_fract
        mov a,eax;
        }
    return a;
    // you can also do this instead but unless done on 64bit variable will overflow
    return (x*y)>>_fx32_fract_bits;
    }
//---------------------------------------------------------------------------
DWORD fx32_sqrt(const DWORD &x) // unsigned fixed point sqrt
    {
    DWORD m,a;
    if (!x) return 0;
    m=bits(x);                  // integer bits
    if (m>_fx32_fract_bits) m-=_fx32_fract_bits; else m=0;
    m>>=1;                      // sqrt integer result is half of x integer bits
    m=_fx32_one<<m;             // MSB of result mask
    for (a=0;m;m>>=1)           // test bits from MSB to 0
        {
        a|=m;                   // bit set
        if (fx32_mul(a,a)>x)    // if result is too big
         a^=m;                  // bit clear
        }
    return a;
    }
//---------------------------------------------------------------------------
DWORD fx32_exp2(DWORD y)       // 2^y
    {
    // handle special cases
    if (!y) return _fx32_one;                    // 2^0 = 1
    if (y==_fx32_one) return 2;                  // 2^1 = 2
    DWORD m,a,b,_y;
    // handle the signs
    _y=y&_fx32_fract_mask;      // _y fractional part of exponent
     y=y&_fx32_integ_mask;      //  y integer part of exponent
    a=_fx32_one;                // ini result
    // powering by squaring x^y
    if (y)
        {
        for (m=_fx32_MSB_mask;(m>_fx32_one)&&(m>y);m>>=1);     // find mask of highest bit of exponent
        for (;m>=_fx32_one;m>>=1)
            {
            a=fx32_mul(a,a);
            if (DWORD(y&m)) a<<=1;  // a*=2
            }
        }
    // powering by rooting x^_y
    if (_y)
        {
        for (b=2<<_fx32_fract_bits,m=_fx32_one>>1;m;m>>=1)      // use only fractional part
            {
            b=fx32_sqrt(b);
            if (DWORD(_y&m)) a=fx32_mul(a,b);
            }
        }
    return a;
    }
//---------------------------------------------------------------------------
DWORD fx32_log2(DWORD x)    // = log2(x)
    {
    DWORD y,m;
    // binary search from highest possible integer power of 2 to avoid overflows (log2(integer bits)-1)
    for (y=0,m=_fx32_one<<(bits(_fx32_integ_bits)-1);m;m>>=1)
        {
        y|=m;   // set bit
        if (fx32_exp2(y)>x) y^=m; // clear bit if result too big
        }
    return y;
    }
//---------------------------------------------------------------------------

这里是简单的测试(使用浮点数只用于加载和打印,您也可以处理整数或编译器评估的常量):

Here simple test (using floats just for loading and printing you can handle booth on integers too, or by compiler evaluated constants):

float(fx32_log2(float(125.67*float(_fx32_one)))) / float(_fx32_one)

计算结果:log2(125.67) = 6.98828125 我的 win calc 返回 6.97349648 非常接近.更精确的结果需要使用更多的小数位.int 和编译时评估浮点示例:

This evaluates: log2(125.67) = 6.98828125 my win calc returns 6.97349648 which is pretty close. More precise result you need more fractional bits you need to use. Int and compile time evaluation float example:

(100*fx32_log2(125.67*_fx32_one))>>_fx32_fract_bits

返回698,意思是6.98乘以100.您也可以编写自己的加载和打印函数,直接在定点字符串之间进行转换.

returns 698 which means 6.98 as we multiplied by 100. You can also write your own load and print function to convert between fixed point and string directly.

要更改精度,只需使用 _fx32_fract_bits 常量即可.无论如何,如果您的 C++ 不知道 DWORD,它只是 32 位 unsigned int.如果您使用不同的类型(如 1664 位),则只需相应地更改常量即可.

To change precision just play with _fx32_fract_bits constant. Anyway if your C++ does not know DWORD it is just 32bit unsigned int. If you are using different type (like 16 or 64 bit) then just change the constants accordingly.

有关更多信息,请查看:

For more info take a look at:

[Edit2] fx32_mul 在没有 asm 基础的 32 位算术上 2^16 O(n^2)

fx32_mul on 32bit arithmetics without asm base 2^16 O(n^2)

DWORD fx32_mul(DWORD x,DWORD y)
    {
    const int _h=1; // this is MSW,LSW order platform dependent So swap 0,1 if your platform is different
    const int _l=0;
    union _u
        {
        DWORD u32;
        WORD u16[2];
        }u;
    DWORD al,ah,bl,bh;
    DWORD c0,c1,c2,c3;
    // separate 2^16 base digits
    u.u32=x; al=u.u16[_l]; ah=u.u16[_h];
    u.u32=y; bl=u.u16[_l]; bh=u.u16[_h];
    // multiplication (al+ah<<1)*(bl+bh<<1) = al*bl + al*bh<<1 + ah*bl<<1 + ah*bh<<2
    c0=(al*bl);
    c1=(al*bh)+(ah*bl);
    c2=(ah*bh);
    c3= 0;
    // propagate 2^16 overflows (backward to avoid overflow)
    c3+=c2>>16; c2&=0x0000FFFF;
    c2+=c1>>16; c1&=0x0000FFFF;
    c1+=c0>>16; c0&=0x0000FFFF;
    // propagate 2^16 overflows (normaly to recover from secondary overflow)
    c2+=c1>>16; c1&=0x0000FFFF;
    c3+=c2>>16; c2&=0x0000FFFF;
    // (c3,c2,c1,c0) >> _fx32_fract_bits
    u.u16[_l]=c0; u.u16[_h]=c1; c0=u.u32;
    u.u16[_l]=c2; u.u16[_h]=c3; c1=u.u32;
    c0 =(c0&_fx32_integ_mask)>>_fx32_fract_bits;
    c0|=(c1&_fx32_fract_mask)<<_fx32_integ_bits;
    return c0;
    }

如果你没有 WORD,DWORD 把它加到代码的开头

In case you do not have WORD,DWORD add this to start of code

typedef unsigned __int32 DWORD;
typedef unsigned __int16 WORD;

或者这个:

typedef uint32_t DWORD;
typedef uint16_t WORD;

[Edit3] fx32_mul 调试信息

让我们调用并跟踪/断点这个(15 个小数位):

let call and trace/breakpoint this (15 fractional bits):

fx32_mul(0x00123400,0x00230056);

是:

0x00123400/32768 * 0x00230056/32768 =
36 * 70.00262451171875 = 2520.094482421875

所以:

DWORD fx32_mul(DWORD x,DWORD y) // x=0x00123400 y=0x00230056
    {
    const int _h=1;
    const int _l=0;
    union _u
        {
        DWORD u32;
        WORD u16[2];
        }u;
    DWORD al,ah,bl,bh;
    DWORD c0,c1,c2,c3;
    // separate 2^16 base digits
    u.u32=x; al=u.u16[_l]; ah=u.u16[_h]; // al=0x3400 ah=0x0012
    u.u32=y; bl=u.u16[_l]; bh=u.u16[_h]; // bl=0x0056 bh=0x0023
    // multiplication (al+ah<<1)*(bl+bh<<1) = al*bl + al*bh<<1 + ah*bl<<1 + ah*bh<<2
    c0=(al*bl);        // c0=0x00117800
    c1=(al*bh)+(ah*bl);// c1=0x0007220C
    c2=(ah*bh);        // c2=0x00000276
    c3= 0;             // c3=0x00000000
    // propagate 2^16 overflows (backward to avoid overflow)
    c3+=c2>>16; c2&=0x0000FFFF; // c3=0x00000000 c2=0x00000276
    c2+=c1>>16; c1&=0x0000FFFF; // c2=0x0000027D c1=0x0000220C
    c1+=c0>>16; c0&=0x0000FFFF; // c1=0x0000221D c0=0x00007800
    // propagate 2^16 overflows (normaly to recover from secondary overflow)
    c2+=c1>>16; c1&=0x0000FFFF; // c2=0x0000027D c1=0x0000221D
    c3+=c2>>16; c2&=0x0000FFFF; // c3=0x00000000 c2=0x0000027D
    // (c3,c2,c1,c0) >> _fx32_fract_bits
    u.u16[_l]=c0; u.u16[_h]=c1; c0=u.u32; // c0=0x221D7800
    u.u16[_l]=c2; u.u16[_h]=c3; c1=u.u32; // c1=0x0000027D
    c0 =(c0&_fx32_integ_mask)>>_fx32_fract_bits; // c0=0x0000443A
    c0|=(c1&_fx32_fract_mask)<<_fx32_integ_bits; // c0=0x04FA443A
    return c0; // 0x04FA443A -> 83510330/32768 = 2548.53302001953125
    }

这篇关于在不使用浮点类型的情况下在 C 中构建对数函数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!

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