Floating Point Math

時間  2019-11-25
標籤 floating point math 欄目 Java開源 简体版
原文   原文鏈接

Floating Point Math

Your language isn't broken, it's doing floating point math. Computers can only natively store integers, so they need some way of representing decimal numbers. This representation comes with some degree of inaccuracy. That's why, more often than not, .1 + .2 != .3.javascript

Why does this happen?

It's actually pretty simple. When you have a base 10 system (like ours), it can only express fractions that use a prime factor of the base. The prime factors of 10 are 2 and 5. So 1/2, 1/4, 1/5, 1/8, and 1/10 can all be expressed cleanly because the denominators all use prime factors of 10. In contrast, 1/3, 1/6, and 1/7 are all repeating decimals because their denominators use a prime factor of 3 or 7. In binary (or base 2), the only prime factor is 2. So you can only express fractions cleanly which only contain 2 as a prime factor. In binary, 1/2, 1/4, 1/8 would all be expressed cleanly as decimals. While, 1/5 or 1/10 would be repeating decimals. So 0.1 and 0.2 (1/10 and 1/5) while clean decimals in a base 10 system, are repeating decimals in the base 2 system the computer is operating in. When you do math on these repeating decimals, you end up with leftovers which carry over when you convert the computer's base 2 (binary) number into a more human readable base 10 number.html

Below are some examples of sending .1 + .2 to standard output in a variety of languages.java

read more: | wikipedia | IEEE 754 | Stack Overflow | What Every Computer Scientist Should Know About Floating-Point Arithmeticpython

Language Code Result
ABAP 
WRITE / CONV f( '.1' + '.2' ).
And 
WRITE / CONV decfloat16( '.1' + '.2' ).

0.30000000000000004ios

And

0.3git
Ada 
with Ada.Text_IO; use Ada.Text_IO;
procedure Sum is
  A : Float := 0.1;
  B : Float := 0.2;
  C : Float := A + B;
begin
  Put_Line(Float'Image(C));
  Put_Line(Float'Image(0.1 + 0.2));
end Sum;

3.00000E-01
3.00000E-01github
APL 
0.1 + 0.2

0.30000000000000004golang
AutoHotkey 
MsgBox, % 0.1 + 0.2

0.300000web
awk 
echo | awk '{ print 0.1 + 0.2 }'

0.3shell
bc 
0.1 + 0.2

0.3
C 
#include<stdio.h>
int main(int argc, char** argv) {
    printf("%.17f\n", .1+.2);
    return 0;
}

0.30000000000000004
Clojure 
(+ 0.1 0.2)

0.30000000000000004

Clojure supports arbitrary precision and ratios. (+ 0.1M 0.2M) returns 0.3M, while (+ 1/10 2/10) returns 3/10.
ColdFusion 
<cfset foo = .1 + .2>
<cfoutput>#foo#</cfoutput>

0.3
Common Lisp 
(+ .1 .2)
And 
(+ 1/10 2/10)
And 
(+ 0.1d0 0.2d0)
And 
(- 1.2 1.0)

0.3

And

3/10

And

0.30000000000000004d0

And

0.20000005

CL’s spec doesn’t actually even require radix 2 floats (let alone specifically 32-bit singles and 64-bit doubles), but the high-performance implementations all seem to use IEEE floats with the usual sizes. This was tested on SBCL and ECL in particular.
C++ 
#include <iomanip>
std::cout << std::setprecision(17) << 0.1 + 0.2

0.30000000000000004
Crystal 
puts 0.1 + 0.2
And 
puts 0.1_f32 + 0.2_f32

0.30000000000000004

And

0.3
C# 
Console.WriteLine("{0:R}", .1 + .2);
And 
Console.WriteLine("{0:R}", .1m + .2m);

0.30000000000000004

And

0.3

C# has support for 128-bit decimal numbers, with 28-29 significant digits of precision. Their range, however, is smaller than that of both the single and double precision floating point types. Decimal literals are denoted with the m suffix.
D 
import std.stdio;

void main(string[] args) {
  writefln("%.17f", .1+.2);
  writefln("%.17f", .1f+.2f);
  writefln("%.17f", .1L+.2L);
}

0.29999999999999999
0.30000001192092896
0.30000000000000000
Dart 
print(.1 + .2);

0.30000000000000004
dc 
0.1 0.2 + p

.3
Delphi XE5 
writeln(0.1 + 0.2);

3.00000000000000E-0001
Elixir 
IO.puts(0.1 + 0.2)

0.30000000000000004
Elm 
0.1 + 0.2

0.30000000000000004
elvish 
+ .1 .2

0.30000000000000004

elvish uses Go’s double for numerical operations.
Emacs Lisp 
(+ .1 .2)

0.30000000000000004
Erlang 
io:format("~w~n", [0.1 + 0.2]).

0.30000000000000004
FORTRAN 
program FLOATMATHTEST
  real(kind=4) :: x4, y4
  real(kind=8) :: x8, y8
  real(kind=16) :: x16, y16
  ! REAL literals are single precision, use _8 or _16
  ! if the literal should be wider.
  x4 = .1; x8 = .1_8; x16 = .1_16
  y4 = .2; y8 = .2_8; y16 = .2_16
  write (*,*) x4 + y4, x8 + y8, x16 + y16
end

0.300000012
0.30000000000000004
0.300000000000000000000000000000000039
Gforth 
0.1e 0.2e f+ f.

0.3
GHC (Haskell) 
* 0.1 + 0.2 :: Double
And 
* 0.1 + 0.2 :: Float

* 0.30000000000000004

And

* 0.3

Haskell supports rational numbers. To get the math right, 0.1 + 0.2 :: Rational returns 3 % 10, which is exactly 0.3.
Go 
package main
import "fmt"
func main() {
  fmt.Println(.1 + .2)
  var a float64 = .1
  var b float64 = .2
  fmt.Println(a + b)
  fmt.Printf("%.54f\n", .1 + .2)
}

0.3
0.30000000000000004
0.299999999999999988897769753748434595763683319091796875

Go numeric constants have arbitrary precision.
Groovy 
println 0.1 + 0.2

0.3

Literal decimal values in Groovy are instances of java.math.BigDecimal
Hugs (Haskell) 
0.1 + 0.2

0.3
Io 
(0.1 + 0.2) print

0.3
Java 
System.out.println(.1 + .2);
And 
System.out.println(.1F + .2F);

0.30000000000000004

And

0.3

Java has built-in support for arbitrary precision numbers using the BigDecimal class.
JavaScript 
console.log(.1 + .2);

0.30000000000000004

The decimal.js library provides an arbitrary-precision Decimal type for JavaScript.
Julia 
.1 + .2

0.30000000000000004

Julia has built-in rational numbers support and also a built-in arbitrary-precision BigFloat data type. To get the math right, 1//10 + 2//10 returns 3//10.
K (Kona) 
0.1 + 0.2

0.3
Lua 
print(.1 + .2)
And 
print(string.format("%0.17f", 0.1 + 0.2))

0.3

And

0.30000000000000004
Mathematica 
0.1 + 0.2

0.3

Mathematica has a fairly thorough internal mechanism for dealing with numerical precision and supports arbitrary precision.
Matlab 
0.1 + 0.2
And 
sprintf('%.17f',0.1+0.2)

0.3

And

0.30000000000000004
MySQL 
SELECT .1 + .2;

0.3
Nim 
echo(0.1 + 0.2)

0.3
Objective-C 
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
  @autoreleasepool {
    NSLog(@"%.17f\n", .1+.2);
  }
  return 0;
}

0.30000000000000004
OCaml 
0.1 +. 0.2;;

float = 0.300000000000000044
Perl 5 
perl -E 'say 0.1+0.2'
And 
perl -e 'printf q{%.17f}, 0.1+0.2'

0.3

And

0.30000000000000004
Perl 6 
perl6 -e 'say 0.1+0.2'
And 
perl6 -e 'say (0.1+0.2).base(10, 17)'
And 
perl6 -e 'say 1/10+2/10'
And 
perl6 -e 'say (0.1.Num + 0.2.Num).base(10, 17)'

0.3

And

0.3

And

0.3

And

0.30000000000000004

Perl 6, unlike Perl 5, uses rationals by default, so .1 is stored something like { numerator => 1, denominator => 10 }. To actually trigger the behavior, you must force the numbers to be of type Num (double in C terms) and use the base function instead of the sprintf or fmt functions (since those functions have a bug that limits the precision of the output).
PHP 
echo .1 + .2; 
var_dump(.1 + .2);

0.3 float(0.30000000000000004441)

PHP echo converts 0.30000000000000004441 to a string and shortens it to 「0.3」. To achieve the desired floating point result, adjust the precision ini setting: ini_set(「precision」, 17).
PicoLisp 
[load "frac.min.l"]  # https://gist.github.com/6016d743c4c124a1c04fc12accf7ef17
And 
[println (+ (/ 1 10) (/ 2 10))]

(/ 3 10)

You must load file 「frac.min.l」.
Postgres 
SELECT select 0.1::float + 0.2::float;

0.3
Powershell 
PS C:\>0.1 + 0.2

0.3
Prolog (SWI-Prolog) 
?- X is 0.1 + 0.2.

X = 0.30000000000000004.
Pyret 
0.1 + 0.2
And 
~0.1 + ~0.2

0.3

And

~0.30000000000000004

Pyret has built-in support for both rational numbers and floating points. Numbers written normally are assumed to be exact. In contrast, RoughNums are represented by floating points, and are written with a ~ in front, to indicate that they are not precise answers. (The ~ is meant to visually evoke hand-waving.) Therefore, a user who sees a computation produce ~0.30000000000000004knows to treat the value with skepticism. RoughNums also cannot be compared directly for equality; they can only be compared up to a given tolerance.
Python 2 
print(.1 + .2)
And 
.1 + .2
And 
float(decimal.Decimal(".1") + decimal.Decimal(".2"))
And 
float(fractions.Fraction('0.1') + fractions.Fraction('0.2'))

0.3

And

0.30000000000000004

And

0.3

And

0.3

Python 2’s 「print」 statement converts 0.30000000000000004 to a string and shortens it to 「0.3」. To achieve the desired floating point result, use print(repr(.1 + .2)). This was fixed in Python 3 (see below).
Python 3 
print(.1 + .2)
And 
.1 + .2
And 
float(decimal.Decimal('.1') + decimal.Decimal('.2'))
And 
float(fractions.Fraction('0.1') + fractions.Fraction('0.2'))

0.30000000000000004

And

0.30000000000000004

And

0.3

And

0.3

Python (both 2 and 3) supports decimal arithmetic with the decimal module, and true rational numbers with the fractions module.
R 
print(.1+.2)
And 
print(.1+.2, digits=18)

0.3

And

0.30000000000000004
Racket (PLT Scheme) 
(+ .1 .2)
And 
(+ 1/10 2/10)

0.30000000000000004

And

3/10
Ruby 
puts 0.1 + 0.2
And 
puts 1/10r + 2/10r

0.30000000000000004

And

3/10

Ruby supports rational numbers in syntax with version 2.1 and newer directly. For older versions use Rational.
Ruby also has a library specifically for decimals: BigDecimal.
Rust 
extern crate num;
use num::rational::Ratio;
fn main() {
    println!("{}", 0.1 + 0.2);
    println!("1/10 + 2/10 = {}", Ratio::new(1, 10) + Ratio::new(2, 10));
}

0.30000000000000004

And

1/10 + 2/10 = 3/10

Rust has rational number support from the num crate.
SageMath 
.1 + .2
And 
RDF(.1) + RDF(.2)
And 
RBF('.1') + RBF('.2')
And 
QQ('1/10') + QQ('2/10')

0.3

And

0.30000000000000004

And

[「0.300000000000000 +/- 1.64e-16」]

And

3/10

SageMath supports various fields for arithmetic: Arbitrary Precision Real Numbers, RealDoubleField, Ball Arithmetic, Rational Numbers, etc.
scala 
scala -e 'println(0.1 + 0.2)'
And 
scala -e 'println(0.1F + 0.2F)'
And 
scala -e 'println(BigDecimal("0.1") + BigDecimal("0.2"))'

0.30000000000000004

And

0.3

And

0.3
Smalltalk 
0.1 + 0.2.

0.30000000000000004
Swift 
0.1 + 0.2
And 
NSString(format: "%.17f", 0.1 + 0.2)

0.3

And

0.30000000000000004
TCL 
puts [expr .1 + .2]

0.30000000000000004
Turbo Pascal 7.0 
writeln(0.1 + 0.2);

3.0000000000E-01
Vala 
static int main(string[] args) {
  stdout.printf("%.17f\n", 0.1 + 0.2);
  return 0;
}

0.30000000000000004
Visual Basic 6 
a# = 0.1 + 0.2: b# = 0.3
Debug.Print Format(a - b, "0." & String(16, "0"))
Debug.Print a = b

0.0000000000000001
False

Appending the identifier type character # to any identifier forces it to Double.
WebAssembly (WAST) 
(func $add_f32 (result f32)
    f32.const 0.1
    f32.const 0.2
    f32.add)
(export "add_f32" (func $add_f32))
And 
(func $add_f64 (result f64)
    f64.const 0.1
    f64.const 0.2
    f64.add)
(export "add_f64" (func $add_f64))

0.30000001192092896

And

0.30000000000000004

https://webassembly.studio/?f=r739k6d6q4t
zsh 
echo "$((.1+.2))"

0.30000000000000004

I am Erik Wiffin. You can contact me at: erik.wiffin.com or erik.wiffin@gmail.com.

This project is on github. If you think this page could be improved, send me a pull request.

相關文章
相關標籤/搜索
每日一句
    每一个你不满意的现在，都有一个你没有努力的曾经。
本站公眾號
   歡迎關注本站公眾號,獲取更多信息
聯繫我們 最近搜索 最新文章 沪ICP备13005482号-10 MyBatis教程 SQL 教程 MySQL教程 Java 教程 Thymeleaf 教程 Hibernate教程 Spring教程 Redis教程