是否有等效于 Java 的 BigDecimal 的 C++?

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时间:2020-08-28 16:32:23  来源:igfitidea点击:

Is there a C++ equivalent to Java's BigDecimal?

c++bigdecimal

提问by poindexter

I'm looking for a C++ class that can do decimal floating point arithmetic. Looking through http://speleotrove.com/decimal/there are links to all sorts of classes that people have written and not maintained. Digging through the decNumber++ stuff led me to some emails showing that GCC will eventually support this functionality. (Formally known as ISO/IEC TR 24733)

我正在寻找一个可以进行十进制浮点运算的 C++ 类。浏览http://speleotrove.com/decimal/可以找到人们编写但未维护的各种类的链接。深入研究 decNumber++ 的内容,我收到了一些电子邮件,显示 GCC 最终将支持此功能。(正式名称为 ISO/IEC TR 24733)

I'm looking for something I can use as a drop-in replacement for float or double, something that other people are using in their own projects. Hopefully open source.

我正在寻找可以用作 float 或 double 的替代品,其他人在他们自己的项目中使用的东西。希望开源。

Thanks!

谢谢!

EDIT: I should point out that I'm trying to use this to represent prices. So I need EXACT decimals, not HUGE decimals.

编辑:我应该指出我试图用它来代表价格。所以我需要精确的小数,而不是巨大的小数。

采纳答案by Konrad Rudolph

There exists a huge library called GMP (GNU multiple precision library)which supports this and also has C++ bindings, though to be honest the C++ interface is a bit wonky and outdated.

存在一个名为GMP(GNU 多精度库)的庞大库,它支持这一点,并且还具有 C++ 绑定,但老实说,C++ 接口有点不稳定和过时。

An example from the documentation, the following creates a float called fwith at least 500 bits of precision:

文档中的一个示例,以下创建了一个精度f至少为 500 位的浮点数:

mpf_class f(1.5, 500);

回答by Mark Loeser

Take your pick. There are a bunch of them out there. For instance, you can consult the list on Wikipedia.

随你挑。那里有很多。例如,您可以查阅Wikipedia 上列表

回答by SR_

The question is a bit old, but for other people that have the same need : Boost.multiprecision is probably what you're looking for.

这个问题有点老了,但对于其他有同样需求的人来说:Boost.multiprecision 可能是你正在寻找的。

http://www.boost.org/doc/libs/1_57_0/libs/multiprecision/doc/html/boost_multiprecision/tut/floats/cpp_dec_float.html

http://www.boost.org/doc/libs/1_57_0/libs/multiprecision/doc/html/boost_multiprecision/tut/floats/cpp_dec_float.html

It's an arbitrary precision library that can handle 10-based decimals.

它是一个任意精度的库,可以处理基于 10 的小数。

回答by Elalfer

If you need to do operations with HUGE decimal values I would suggest you to use http://gmplib.org/library. I've used it a lot with C and C++.

如果您需要使用巨大的十进制值进行操作,我建议您使用http://gmplib.org/库。我在 C 和 C++ 中经常使用它。

回答by JH.

Use GMP and store everything as cents. If you know that you won't pass 2^32 cents (42.949673 million dollars) use a 32 bit unsigned int (or use a 64 bit unsigned int) and keep it simple.

使用 GMP 并将所有内容存储为美分。如果您知道您不会超过 2^32 美分(4294.9673 万美元),请使用 32 位无符号整数(或使用 64 位无符号整数)并保持简单。

回答by emsr

I may be too late for this but would 128bit decimals work? These have been accepted into C++ and at least gcc has them since gcc-4.5 (we're starting 4.9 now:

我可能为时已晚,但 128 位小数会起作用吗?这些已经被 C++ 接受,至少 gcc 从 gcc-4.5 开始就有它们(我们现在从 4.9 开始:

#include <iostream>
#include <decimal/decimal>

using namespace std;

int main()
{
  {
    std::decimal::decimal32 dn(.3), dn2(.099), dn3(1000), dn4(201);
    dn-=dn2;
    dn*=dn3;
    cout << "decimal32 = "  << (dn==dn4) << " : " << decimal32_to_double(dn) << endl;
  }

  {
    std::decimal::decimal64 dn(.3), dn2(.099), dn3(1000), dn4(201);
    dn-=dn2;
    dn*=dn3;
    cout << "decimal64 = "  << (dn==dn4) << " : " << decimal64_to_double(dn) << endl;
  }

  {
    std::decimal::decimal128 dn(.3), dn2(.099), dn3(1000), dn4(201);
    dn-=dn2;
    dn*=dn3;
    cout << "decimal128 = " << (dn==dn4) << " : " << decimal128_to_double(dn) << endl;
  }

  return 0;
}

Note there is decimal32 equal in size to float, decimal64 equal in size to most double. So decimal128 is pretty big. From Wikipedia: Decimal128 supports 34 decimal digits of significand and an exponent range of ?6143 to +6144, i.e. ±0.000000000000000000000000000000000×10?6143 to ±9.999999999999999999999999999999999×106144. (Equivalently, ±0000000000000000000000000000000000×10?6176 to ±9999999999999999999999999999999999×106111.)

请注意,decimal32 的大小等于 float,decimal64 的大小等于大多数 double。所以decimal128相当大。来自维基百科:Decimal128 支持 34 位十进制数字的有效数和指数范围 ?6143 至 +6144,即 ±0.000000000000000000000000000000000×10?6143 至 ±9.99999999999999994 (相当于±0000000000000000000000000000000000000000×10?6176~±99999999999999999999999999999999×106111。)

The mpfr library is arbitrary precision binary floating point - not arbitrary precision decimal. There is a difference.

mpfr 库是任意精度的二进制浮点数 - 而不是任意精度的十进制数。它们是有区别的。

回答by Kijam

Here is an implementation of BCMath PHP to C++. There are two versions, one for Qt and the other for use only STL.

这是 BCMath PHP 到 C++ 的实现。有两个版本,一个用于 Qt,另一个仅用于 STL。

Source: https://github.com/DesarrollosCuado/BCMath-for-Cpp

来源:https: //github.com/DesarrollosCuado/BCMath-for-Cpp

BCMath::bcscale(4); //Num Decimals
BCMath test("-5978");

test^=30; //Pow, only integers. Not work decimals.
std::cout<<"Result BigDecimal 1: "<<test.toString().c_str()<<std::endl;

test-=1.23; //sub
std::cout<<"Result BigDecimal 2: "<<test.toString().c_str()<<std::endl;

test*=1.23; //mul
std::cout<<"Result BigDecimal 3: "<<test.toString().c_str()<<std::endl;

test*=-1.23; //mul
std::cout<<"Result BigDecimal 4: "<<test.toString().c_str()<<std::endl;

BCMath::bcscale(70); //Num Decimals

BCMath randNum("-5943534512345234545.8998928392839247844353457");
BCMath pi("3.1415926535897932384626433832795028841971693993751058209749445923078164062862");

BCMath result1 = randNum + pi;
BCMath result2 = randNum - pi;
BCMath result3 = randNum * pi;
BCMath result4 = randNum / pi;

std::cout<<"Result Super Precision 1: "<<result1.toString().c_str()<<std::endl;
std::cout<<"Result Super Precision 2: "<<result2.toString().c_str()<<std::endl;
std::cout<<"Result Super Precision 3: "<<result3.toString().c_str()<<std::endl;
std::cout<<"Result Super Precision 4: "<<result4.toString().c_str()<<std::endl;

//Other example
BCMath::bcscale(4); //Num Decimals
std::cout<<"Other 1: "<<BCMath::bcmul("1000000.0134", "8.0234").c_str()<<std::endl;
std::cout<<"Other 2: "<<BCMath::bcadd("1000000.0134", "8.0234").c_str()<<std::endl;

std::cout<<"Compare 1:  "<<BCMath::bccomp("1", "2")<<std::endl;
std::cout<<"Compare 2:  "<<BCMath::bccomp("1.00001", "1", 3)<<std::endl;
std::cout<<"Compare 3:  "<<BCMath::bccomp("1.00001", "1", 5)<<std::endl;
std::cout<<"Compare 4:  "<<(BCMath("1")< BCMath("2"))<<std::endl;
std::cout<<"Compare 5:  "<<(BCMath("1")<=BCMath("2"))<<std::endl;
std::cout<<"Compare 6:  "<<(BCMath("1")> BCMath("2"))<<std::endl;
std::cout<<"Compare 7:  "<<(BCMath("1")>=BCMath("2"))<<std::endl;
std::cout<<"Compare 8:  "<<(BCMath("2")< BCMath("2"))<<std::endl;
std::cout<<"Compare 9:  "<<(BCMath("2")<=BCMath("2"))<<std::endl;
std::cout<<"Compare 10: "<<(BCMath("2")> BCMath("2"))<<std::endl;
std::cout<<"Compare 11: "<<(BCMath("2")>=BCMath("2"))<<std::endl;

std::cout<<"Round 1: "<<BCMath::bcround("123.01254").c_str()<<std::endl;
std::cout<<"Round 2: "<<BCMath::bcround("-123.01254", 3).c_str()<<std::endl;
std::cout<<"Round 3: "<<BCMath::bcround("123.01254", 2).c_str()<<std::endl;
pi.round(3);
std::cout<<"Round 4: "<<pi.toString().c_str()<<std::endl;

BCMath part1("-.123");
BCMath part2(".123");
BCMath part3("123");
std::cout<<"Int part 1: "<<part1.getIntPart().c_str()<<std::endl;
std::cout<<"Dec part 1: "<<part1.getDecPart().c_str()<<std::endl;
std::cout<<"Int part 2: "<<part2.getIntPart().c_str()<<std::endl;
std::cout<<"Dec part 2: "<<part2.getDecPart().c_str()<<std::endl;
std::cout<<"Int part 3: "<<part3.getIntPart().c_str()<<std::endl;
std::cout<<"Dec part 3: "<<part3.getDecPart().c_str()<<std::endl;

Result:

结果:

Result BigDecimal 1:  198005530669253749533290222782634796336450786581284861381777714804795900171726938603997395193921984842256586113024
Result BigDecimal 2:  198005530669253749533290222782634796336450786581284861381777714804795900171726938603997395193921984842256586113022.7700
Result BigDecimal 3:  243546802723182111925946974022640799493834467494980379499586589209898957211224134482916796088524041355975600919018.0071
Result BigDecimal 4:  -299562567349513997668914778047848183377416395018825866784491504728175717369805685413987659188884570867849989130392.1487

Result Super Precision 1:  -5943534512345234542.7583001856941315459727023167204971158028306006248941790250554076921835
Result Super Precision 2:  -5943534512345234549.0414854928737180228979890832795028841971693993751058209749445923078164
Result Super Precision 3:  -18672164360341183116.9114783895073349180904753962992796943871920962352436079118338887287186
Result Super Precision 4:  -1891885794154043400.2804849527556211973567525043250278948318788149660700494315139982452600

Other 1:  8023400.1075
Other 2:  1000008.0368

Compare 1:   -1
Compare 2:   0
Compare 3:   1
Compare 4:   true
Compare 5:   true
Compare 6:   false
Compare 7:   false
Compare 8:   false
Compare 9:   true
Compare 10:  false
Compare 11:  true

Round 1:  123.0125
Round 2:  -123.013
Round 3:  123.01
Round 4:  3.142

Int part 1:  -0
Dec part 1:  123
Int part 2:  0
Dec part 2:  123
Int part 3:  123
Dec part 3:  0

回答by RED SOFT ADAIR

Probably "MAPM, A Portable Arbitrary Precision Math Library in C" is what you are looking for. It also includes C++ Wrappers:

可能“MAPM,C 中的便携式任意精度数学库”就是您要找的。它还包括 C++ 包装器:

http://www.tc.umn.edu/~ringx004/mapm-main.html

http://www.tc.umn.edu/~ringx004/mapm-main.html