The layout of IEEE floating point values is shown in Figure 1.
ieee浮点值的格式如图1所示。
There are some libraries that can handle floating point values of arbitrary size.
有一些库，可以处理任意大小的浮点值。
There we have merely 8 bytes for the two floating point values for the X and Y dimension.
对于X和Y维，我们只有用于两个浮点值的8个字节。
As mentioned in my comment, most floating point values does not have a finite number of decimals.
我的评论提到，大多数浮点值不具有一个有限的小数点位数。
So both of these stories involve floating point values, but only in this case am I actually allocating memory.
所以这两个故事都涉及到浮点类型，但是只有那样我们才能真正地分配到内存。
As shown in the in the core section, a fitness is a list of floating point values and has a property valid to know if this individual shall be re-evaluated.
在核心部分所示，一个适应度值是一个浮点值的列表并有一个有效的属性来知道这个个体是否应当重新评估。
The standard mathematical operators, +, -, /, * are supported on both integer and floating point values, and you can mix and match floating-point and integers in calculations.
在整数和浮点数上，都支持使用标准的数学操作符（+、-、/ 和 *），可以在算式中混合使用浮点数和整数。
This technique can especially help in finding problems with floating-point values, conversion ratios, and lengths associated with data types.
这项技术特别有助于发现使用浮点值、转换率，以及与数据类型相关长度的问题。
You can read integer, floating point, and string values that are all defined as' scalar 'objects.
您可以读取被定义为“标量”的整型、浮点型和字符串值。
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。
Likewise, floating-point values are passed through the floating-point registers 1 through 13.
同理，浮点值是通过浮点寄存器1到13传递的。
It is best to reserve the use of floating point arithmetic for calculations that involve fundamentally inexact values, such as measurements.
最好将浮点运算保留用作计算本来就不精确的数值，譬如测量。
And I can fix this just by changing one of those values to a floating point.
所以我可以通过改变其中一个，整型数为浮点数。
If you need to store floating-point values in a program, you must declare variables of type double, just as you previously had to declare variables of type int to write Add2Integers.
如果你需要在程序中存储浮点数，必须将变量类型声明为double，就像上面你写add2integers这个程序需要将变量声明为int型一样。
Don't use floating point Numbers for exact values.
不要用浮点值表示精确值。
So as well as being able to pattern match over values, such as integers, floating point Numbers and strings, we are also able to pattern match over an objects type.
所以正如能够匹配很多值一样，我们也能够匹配很多对象类型，如：整数、浮点数和字符串。
Color changes are another common alteration. Values for color are floating point Numbers from 0 to 1, 0 being black, 1 being white.
修改颜色是另一个常见的操作。颜色值是一个从0到1的浮点数，0代表黑色，1代表白色。
Floating - point values are whole Numbers with a decimal portion.
浮点值是带有小数部分的整数。
Editing floating-point values can result in minor inaccuracies because of decimal-to-binary conversion of fractional components.
编辑浮点值时，由于要将小数部分从十进制转换为二进制，因此所得的结果可能存在微小误差。
For functions not fully prototyped, the caller will pass integer values as integers and floating-point values as double precision.
对于没有完整原型的函式，呼叫端将会传递整数值做为整数，并传递浮点值做为双精度值。
Floating point Numbers can reach much higher values but their precision not.
浮点数可以达到更高的值，但其精度。
For floating-point values only, both the integer register and the floating-point register will contain the float value in case the callee expects the value in the integer registers.
仅对于浮点值，被调用方希望使用整数寄存器中的值时，整数寄存器和浮点寄存器都将包含浮点值。
Binary representation of floating-point values affects the precision and accuracy of floating-point calculations.
二元代表性浮点值影响的精密度和准确度的浮点计算。
Floating-point decimal values generally do not have an exact binary representation.
一般而言，十进位浮点数值并没有精确的二进位表示式。
Floating-point decimal values generally do not have an exact binary representation.
一般而言，十进位浮点数值并没有精确的二进位表示式。
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