双精度数的指数的偏差是1023。
浮点数和双精度数字的二进制表示。
“普通消费者不需要双精度(浮点数支持)”他说。
其他的增强有设备的随机数生成器以及双精度的支持。
Other enhancements are on-device random number generation and double precision support.
它为双精度数和复数提供了近400个函数。
It provides nearly 400 functions for doubles and complex Numbers.
它也没有用随机双精度数来填充数组或矩阵的函数。
Also, no function fills an array or matrix with random doubles.
例如，业务用户可能不知道double表示双精度小数。
For example, a business user might not know that double means a double-precision decimal.
这些类允许各种几何图形建立在双精度或浮点精度的坐标系上。
These classes allow the various geometric shapes to be constructed with coordinates of either double or float precision.
而采用双精度实数作为系统初值密钥，其提供的密钥空间巨大。
Due to realizing in double-real precision, the algorithms are provided with big secret key space .
在内部，其使用四字节有符号整数值和双精度值表示一个数值。
Internally, it USES four byte signed integer values and double values to represent a number.
浮点或者双精度浮点的内存空间是限定了的，所以某些值不能被表示。
The memory space of a float or double value is limited, so some values cannot be represented.
去掉逗号输入就变为“123456.7”，该程序接受该双精度值。
Once the comma is removed so that the input is "123456.7", the program accepts the double value.
公布的实数属性' %s '必须是单精度，实数，双精度或扩展型。
Published Real property '% s' must be Single, Real, Double or Extended.
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。
A new design method of pipelined multiplier for double precision floating point data based on IEEE754 standard was proposed.
易于读取日期、持续时间、货币、整数、双精度、百分比和布尔值格式的数据。
Easy to read format data for date, duration, currency, integers, doubles, percentage and Boolean.
Blitz的Unifor m类提供返回在0,1间的双精度数的成员函数。
Blitz's Uniform class provides a member function that returns a double in 0, 1.
本文给出了BASIC语言中一些常用的标准函数的双精度计算的算法和程序。
In this paper, algorithms and routines about the double precision computation of some standard functions in BASIC language are presented.
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。
Similarly, on platforms without native support for fixed-point or double-precision floating-point Numbers, implementations must emulate these types.
变量 $values既不是节点集也不是IDN，仅仅是一个原子性的双精度数序列。
The variable $values is neither a node-set nor an IDN; it is just a sequence of atomic double-precision numbers.
如果参数为0，则对应的浮点数和双精度数的结果分别是- 127和- 1023。
If the argument is zero, then the result will be -127 for a float and -1023 for a double.
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”。
Regan speculated that this particular number is troublesome because it is the "largest subnormal double-precision floating-point number."
如果参数为NaN或Inf，则对应的浮点数和双精度数的结果分别是128和1024。
If the argument is NaN or Inf, then the result will be 128 for a float and 1024 for a double.
Lua中所有的数字都是双精度的(不过我们可以非常简便地编写一些代码来实现其他数字类型)。
All Numbers in Lua are doubles (but you can easily build code to realize other numeric types).
您可以为点和线定义您自己的类，以便您可以提供双精度值而非整数值的参数以及z -轴。
You define your own classes for point and line so that you can provide all arguments as double values instead of integers and so that you can provide a z-axis.
双精度数是以类似的方式编码的，但是它使用52位的尾数和11位的指数来获得更高的精度。
Doubles are encoded in much the same way except that they use a 52-bit mantissa and an 11-bit exponent for higher precision.
尽量尝试将您的扩展函数设计为仅使用双精度、字符串、布尔和节点集作为实参和返回值的类型。
Try to design your extension functions so that they use only doubles, strings, booleans, and node-sets as both arguments and return values.
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。
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.
对于财务应用程序(尤其是需要精确到最后一位的会计应用程序)，处理浮点数和双精度数时也需要格外小心。
Financial applications (and especially accounting applications that require accuracy to the last cent) also need to be exceedingly careful when manipulating floats and doubles.
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。
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。
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.
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