c＃：两个双数字问题的总和 [英] c#: sum of two double numbers problem

问题描述

可能重复：

为什么C＃中的浮点算术不精确？

嗨。我有以下问题：

  43.65 + 61.11 = 104.75999999999999 
  
 （十进制）43.65+（小数位数）
 
 
小数点）61.11 = 104.76 
  
为什么双重错误？
解决方案
这个问题及其答案是丰富的信息 -   .NET中的decimal，float和double之间的差异 
 
 
 
 To引用：
 
 
 
 
 
对于自然准确
小数的值，使用十进制。 
这通常适用于人类发明的任何
概念：财务
值是最明显的例子，
，但也有其他。考虑给潜水员或滑冰运动员的
分数，例如
。
 
 
 
 
对于
的更多文物的价值无论如何，无法真正衡量的性质
，float / double更适合
。例如，科学的
数据通常将以
表示。在这里，原始值
将不会十分准确地启动
，所以对于
预期结果来说，维持
十进制精度并不重要。浮动二进制
点类型的工作速度要快于
而不是小数位数。
 
 
 
 
 
 

  
Possible Duplicate:

  Why is floating point arithmetic in C# imprecise?  
Hi. I've got following problem:
43.65+61.11=104.75999999999999
for decimal is correct:
(decimal)43.65+(decimal)61.11=104.76
Why result for double is wrong?
解决方案
This question and its answers are a wealth of info on this - Difference between decimal, float and double in .NET?

To quote:

  

  
For values which are "naturally exact
  decimals" it's good to use decimal.
  This is usually suitable for any
  concepts invented by humans: financial
  values are the most obvious example,
  but there are others too. Consider the
  score given to divers or ice skaters,
  for example.
  
For values which are more artefacts of
  nature which can't really be measured
  exactly anyway, float/double are more
  appropriate. For example, scientific
  data would usually be represented in
  this form. Here, the original values
  won't be "decimally accurate" to start
  with, so it's not important for the
  expected results to maintain the
  "decimal accuracy". Floating binary
  point types are much faster to work
  with than decimals.
  


                        
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