传回两个双精度浮点数中较大的一个。
如果你使用双精度浮点数，将去也许8。
If you use double precision floats, that will go up to maybe 8.
将指定的布尔值转换为等效的双精度浮点数。
Converts the specified Boolean value to the equivalent double-precision floating-point number.
以字节数组的形式返回指定的双精度浮点值。
Returns the specified 32-bit unsigned integer value as an array of bytes.
读取当前元素并将内容作为双精度浮点数返回。
Reads the current element and returns the contents as a double-precision floating-point number.
整个双精度浮点乘法器的设计分为10级流水线。
将数字的字串表示转换为其对等的双精度浮点数。
Converts the string representation of a number to its double-precision floating-point number equivalent.
传回小于或等于指定的双精度浮点数的最大整数。
Returns the largest integer less than or equal to the specified double-precision floating-point number.
将指定的双精度浮点数的值转换为等效的布尔值。
Converts the value of the specified 64-bit unsigned integer to an equivalent Boolean value.
将指定的双精度浮点数的值转换为等效的十进制数。
Converts the value of the specified 64-bit unsigned integer to an equivalent decimal number.
将指定的单精度浮点数的值转换为等效的双精度浮点数。
Converts the value of the specified decimal number to an equivalent double-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 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64位带符号整数。
Converts the value of the specified 64-bit unsigned integer to an equivalent 64-bit signed integer.
在此实例的结尾追加指定的双精度浮点数的字符串表示形式。
Appends the string representation of a specified 64-bit unsigned integer to the end of this instance.
将指定的双精度浮点数的值转换为等效的32位无符号整数。
Converts the value of the specified 64-bit unsigned integer to an equivalent 32-bit unsigned integer.
将指定的双精度浮点数的值转换为等效的32位带符号整数。
Converts the value of the specified 64-bit unsigned integer to an equivalent 32-bit signed integer.
确认两个指定的双精度浮点数相等，或在彼此的指定精确度内。
Verifies that two specified doubles are equal, or within the specified accuracy of each other.
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.
比如0.1不能被表示为二进制数，所以被四舍五入储存为双精度浮点数。
For example, 0.1 cannot be represented binary, and therefore is rounded when stored in a double. Let me show you using python.
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.
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.
将指定的区域性特定格式的数字的字符串表示形式转换为它的等效双精度浮点数。
Converts the string representation of a number in a specified culture-specific format to its double-precision floating-point number equivalent.
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."
使用指定样式和文化特性特定格式，将数字的字串表示转换为其对等的双精度浮点数。
Converts the string representation of a number in a specified style and culture-specific format to its double-precision floating-point number equivalent.
这个版本的多载方法使用目前文化特性所使用的格式来测试货币值、双精度浮点数值和日期值。
This version of the overloaded method tests currency, double, and date values using the format used by the current culture.
使用指定的区域性特定格式设置信息，将数字的指定字符串表示形式转换为等效的双精度浮点数。
Converts the specified string representation of a number to an equivalent double-precision floating-point number, using the specified culture-specific formatting information.
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.
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.
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。
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.
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。
Microwulf has been measured to process 26.25 gigaflops, or 26.25 billion double-precision floating point instructions, per second.
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