If you've never encountered an exact precision data type, the distinction between a decimal and floating-point type may be confusing.
如果从未遇到过准确精度数据类型，那么对算术类型和浮点类型可能有些迷惑。
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。
A more general synonym is the float type, which has an arbitrary floating-point precision that you specify when declaring the data type as float (val).
更常用的同义词是FLOAT类型，它拥有任意的浮点精度，可以在声明数据类型时指定，例如float (val)。
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。
Microwulf has been measured to process 26.25 gigaflops, or 26.25 billion double-precision floating point instructions, per second.
Microwulf经测试，运行能力为每秒26.25gigaflops，相当于每秒能进行260多亿次的双精度浮点运算。
On a 64-bit system, integral types are converted to 64-bit integral types, and single precision floating point types are promoted to double precision.
在 64位系统上，整型被转换成 64 位的整型值，单精度的浮点类型被转换成双精度的浮点类型。
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。
Derby provides support for real Numbers in several formats: single-precision floating-point, double-precision floating-point, and an exact representation decimal, as presented in Table 2.
Derby对实数提供了多种格式的支持：单精度浮点、双精度浮点以及准确的算术表示，如表2所示。
One takes a double-precision floating point as input, another takes an integer and a scale factor, and another takes a String representation of a decimal number.
其中一个构造函数以双精度浮点数作为输入，另一个以整数和换算因子作为输入，还有一个以小数的String表示作为输入。
In general supported types are Integer, Boolean, ASCII string, double-precision signed floating point number, date-time, set, list, properties.
通常支持的类型有整数、Boolean、ASCII字符串、双精度带符号浮点数、日期时间、集合、列表、属性。
Regan speculated that this particular number is troublesome because it is the "largest subnormal double-precision floating-point number."
Regan推测这个特殊数字的麻烦之处在于它是“最大的次法线双精度浮点数”。
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。
Spu_mul handles floating point multiplication (single and double precision).
spu_mul处理浮点乘法(单精度和多精度)。
You should always specify the precision of floating point variables when writing custom shaders.
编写自定义着色器时，您应该始终指定浮点变量的精度。
You should always specify the precision of floating point variables when writing custom shaders.
写自定义的着色器时，应该指定浮点数精度。
Rounds a double - precision floating - point value to the specified number of fractional digits.
将双精度浮点值按指定的小数位数舍入。
In order to ensure the precision of operation, floating point number calculate scheme is obligatory.
为了确保运算过程有足够的精度，必须采用浮点运算。
High precision is achieved due to the inherence of the floating-point algorithm.
浮点算法使得系统具有较高的处理精度。
In the multibyte floating point calculations, the calculation of many functions, especially the complex functions, depend on the precision and speed of the square root calculation.
介绍一种可在微型机上由汇编语言完成的多字节浮点快速开平方运算的方法。
Meanwhile, the single board computer itself has developed and found new applications be cause of its ability to make high precision operations of floating point arithmetic.
同时，单板机本身也因具有进行高精度浮点算术运算的能力而得到了新的开发应用。
The use of floating point allows great precision.
使用浮点数可以得到较高的精确度。
A new design method of pipelined multiplier for double precision floating point data based on IEEE754 standard was proposed.
提出了一种基于IEEE754标准的双精度浮点乘法器的流水线设计方法。
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。
In this paper we mainly study for the key technology of super precision floating point arithmetic.
本文主要研究超高精度浮点运算中的关键技术。
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。
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。
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。
Converts the value of the specified object to an single-precision floating-point number, using the specified culture-specific formatting information.
使用指定之文化特性专属格式资讯，将指定之物件的值转换为单精确度浮点数。
Converts the value of the specified decimal number to an equivalent single-precision floating-point number.
将指定的双精度浮点数的值转换为等效的单精度浮点数。
Converts the specified Boolean value to the equivalent double-precision floating-point number.
将指定的布尔值转换为等效的双精度浮点数。
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