Floating-point Numbers are not real Numbers.
浮点数并不是实数。
The same is not true for floating-point numbers.
但浮点数则不是这样。
SQL does not support the modulus operator on floating-point Numbers.
SQL不支持对浮点数字使用取模运算符。
Be aware, however, that the comparison of floating-point Numbers is very strict.
但要注意，对浮点数字的比较是非常严格的。
There are differences in the definition of floating-point Numbers and long variable types.
浮点型数字和长变量类型的定义是有差异的。
The next two—float and double—represent floating-point numbers, again with different dynamic ranges.
随后的两种——float和double，代表了浮点型数，同样具有不同的动态范围。
You can pad both integer and floating-point numbers with leading zeros by using a custom numeric format string.
通过使用自定义数字格式字符串，可以用前导零填充整数和浮点数。
For floating-point Numbers, you place a decimal as the separator between the whole part of the number and the fraction.
对于浮点数，您将在整数部分和小数部分之间放置小数点。
In Listing 2, I reopen the Numeric class (which handles both fixed and floating-point Numbers) to add the gram and pound methods.
在清单2中，我重新打开了numeric类(其处理固定和浮点数字)以便添加gram和pound方法。
Mathematically precise calculations can be thrown severely askew by small round-off errors caused by finite-precision floating-point Numbers.
由有限精度浮点数字引起的很小的舍入错误就会严重歪曲数学精度计算。
You can also use a fixed-precision decimal type, or cast floating-point Numbers to a fixed-precision decimal type before you work with them.
您也可以使用固定精度的十进制类型，或者在使用浮点数之前将它们强制转换为固定精度的十进制类型。
Similarly, on platforms without native support for fixed-point or double-precision floating-point Numbers, implementations must emulate these types.
类似地，在没有本地定点或双精度浮点数支持的平台上，实现必须模拟这些类型。
To sort data type there are many, there is an integer, floating-point Numbers, all kinds of structure (based on a comparison of the properties) and so on.
要排序的数据类型有很多种，有整数、浮点数、各种结构(根据某个属性进行比较)等。
To analyze the rounding error of calculator floating-point Numbers arithmetic operation is the foundation of numerical calculation method's error analysis.
对计算机浮点数算术运算的舍入误差进行分析，是对数值计算方法作误差分析的基础。
In most programming languages, Numbers that include a decimal fraction are called floating-point Numbers, which are used to approximate real Numbers in mathematics.
在大部分的编程语言中，包含了小数点的数字称之为浮点数，可以用它来表示数学中的实数。
Here in Part 2, I focus on the functions that make sense only when you realize that they're designed for operating on floating-point Numbers instead of abstract real Numbers.
在第2部分中，我主要关注这样一些函数，它们的目的是操作浮点数，而不是抽象实数。
The only time floats are used is in manipulation of large multidimensional arrays of floating-point numbers with limited precision in which the storage space would be significant.
使用float的惟一时机就是操纵精度有限的大型多维浮点数字数组，此时存储空间较为重要。
So the arguments (the data) — whether they are floating-point Numbers, integers, character strings, or complex objects — are encoded into a format that can be transferred to the RPC receiver.
所以自变量(数据)-无论是浮点数、整数、字符串还是复杂对象-都要编码成可以传输到RPC接收方的格式。
The exponential function serves as a good example of how careful you have to be when dealing with limited-precision floating-point Numbers instead of infinitely precise real numbers. ex (Math.exp ).
指数函数是一个很好的例子，它表明处理有限精度浮点数(而不是无限精度实数)时是需要非常小心的。
You can run into issues of things like overflow, underflow, with floating point numbers and when you see a whole bunches of ones, it's particularly a good time to be suspicious.
来看看哪儿会出问题，你可能会碰到浮点数中的溢出和下溢问题,当你碰到一系列这种问题后，可能就会适时的开始怀疑结果的正确性。
IEEE 754 represents floating point Numbers as base 2 decimal Numbers in scientific notation.
IEEE 754用科学记数法以底数为2的小数来表示浮点数。
They support Numbers of different types (integers and floating point), characters, strings, and so on.
它们支持许多不同的类型(整型和浮点型)、字符、字符串等等。
Other ranges can be used, but in my experience floating point numbers work best.
您也可以使用其它的范围的数，但是我的经验告诉我，浮点数是最有效的。
Floating point and decimal Numbers are not nearly as well-behaved as integers, and you cannot assume that floating point calculations that "should" have integer or exact results actually do.
浮点数和小数不象整数一样“循规蹈矩”，不能假定浮点计算一定产生整型或精确的结果，虽然它们的确“应该”那样做。
HTTP content negotiation uses short floating point numbers to indicate the relative importance, or weight, of various negotiable parameters.
HTTP内容协商使用短浮点数来表示各种可协商参数的相对重要性（或权重）。
Supported variables include integers, floating point Numbers, strings, arrays, and objects.
支持的变量包括整型、浮点型的数字、字符串、数组和对象。
Floating point Numbers are not exact, and manipulating them will result in rounding errors.
浮点数不是精确值，所以使用它们会导致舍入误差。
In Part 2, I'll explore the functions more designed for operating on floating point Numbers as opposed to abstract real Numbers.
在第2部分，我将探讨专为操作浮点数(与抽象实数相反)而设计的函数。
Floating point Numbers are best reserved for values such as measurements, whose values are fundamentally inexact to begin with.
浮点数最好用来表示象测量值这类数值，这类值从一开始就不怎么精确。
These are based on the IEEE 754 standard, which defines a binary standard for 32-bit floating point and 64-bit double precision floating point binary-decimal Numbers.
它们都依据IEEE 754标准，该标准为32位浮点和64位双精度浮点二进制小数定义了二进制标准。
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