• For example, a business user might not know that double means a double-precision decimal.

    例如,业务用户可能不知道double表示双精度小数。

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  • 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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  • Reads the current element and returns the contents as a double-precision floating-point number.

    读取当前元素并将内容作为双精度浮点数返回。

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  • Returns the largest integer less than or equal to the specified double-precision floating-point number.

    传回小于或等于指定的双精度浮点数的最大整数。

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  • Converts the string representation of a number to its double-precision floating-point number equivalent.

    将数字的字串表示转换为其对等的双精度浮点数。

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  • Converts the value of the specified decimal number to an equivalent double-precision floating-point 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。

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  • The variable $values is neither a node-set nor an IDN; it is just a sequence of atomic double-precision numbers.

    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。

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  • Converts the specified string representation of a number to an equivalent double-precision floating-point number.

    将指定之数字的字串表示,转换为相等的双精确度浮点数。

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  • Converts the value of the specified double-precision floating-point number to an equivalent 64-bit unsigned integer.

    将指定基的数字的字符串表示形式转换为等效的64位无符号整数。

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  • Returns the smallest integral value that is greater than or equal to the specified double-precision floating-point number.

    返回大于或等于指定的十进制数的最小整数值。

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  • 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。

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  • 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”。

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  • These results evaluate to infinity, as the number returned by a 10,000,000 factorial is too large for a double-precision variable to contain.

    估计这些结果会无限大,因为10,000,000的阶乘返回的数字对于双精度变量而言太大,以至超出了它包含的范围。

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  • 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。

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  • Converts the string representation of a number in a specified culture-specific format to its double-precision floating-point number equivalent.

    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。

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  • We present in this paper a set ofm-sequence disturbing chaotic map sequences obtained from a double-precision system, and the character of them.

    这里提出以m序列扰动在双精度计算条件下产生跳频多址序列,对序列的性质进行了研究。

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  • 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。

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  • Converts the value of the specified object to an double-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双精确度浮点数。

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  • You will have to either rewrite your function to operate on single-precision values, or use scalar double-precision VFP instructions instead of NEON.

    你可能需要重写你的函数在单精度值或标量操作,使用双精度VFP指令代替霓虹灯。

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  • Converts the string representation of a number in a specified style and culture-specific format to its double-precision floating-point number equivalent.

    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。

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  • Writes the text representation of the specified double-precision floating-point value, followed by the current line terminator, to the standard output stream.

    使用指定的格式资讯,将指定之物件的文字表示(后面接著目前的行结束字元)写入标准输出资料流。

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  • 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。

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  • The double type can also be referred to as double precision, although it isn't clear why you would want to type the extra word every time you need a double-precision number.

    double类型也可以表示为DOUBLE PRECISION,虽然为什么在需要双精度数字时要输入额外的单词,原因不明。

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  • Converts the specified string representation of a number to an equivalent double-precision floating-point number, using the specified culture-specific formatting information.

    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。

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  • 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。

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  • Checks that the specified local name and namespace URI matches that of the current element, then reads the current element and returns the contents as a double-precision floating-point number.

    检查指定的本地名称和命名空间uri与当前元素的本地名称和命名空间uri是否匹配,然后读取当前元素,并将内容作为双精度浮点数返回。

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  • These classes allow the various geometric shapes to be constructed with coordinates of either double or float precision.

    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。

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  • 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。

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  • For XSD: decimal, XSD: double, and XSD: float types, each platform might have different precision support.

    对于xsd:decimal、xsd: double和xsd:float类型,每个平台可能有不同的精度支持。

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  • For XSD: decimal, XSD: double, and XSD: float types, each platform might have different precision support.

    对于xsd:decimal、xsd: double和xsd:float类型,每个平台可能有不同的精度支持。

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