• IEEE 754 represents floating point Numbers as base 2 decimal Numbers in scientific notation.

    IEEE 754科学记数法以底数为2小数表示浮点

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  • However, you then need to account for the extra 1-bit in a normalized number, and then convert back to a floating-point number between 1 and 2.

    不过随后需要考虑正常数字1位,然后转换范围在1到2之间的浮点数。

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  • Here in Part 2, I focus on the functions that make sense only when you realize that they're designed for operating on floating-point Numbers instead of abstract real Numbers.

    在第2部分主要关注这样一些函数它们目的操作浮点而不是抽象实数

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  • In Part 2, I'll explore the functions more designed for operating on floating point Numbers as opposed to abstract real Numbers.

    2部分,探讨操作浮点(抽象实数相反)而设计函数

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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实数提供了多种格式支持:单精度浮点、双精度浮点以及准确的算术表示2所示。

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  • In Listing 2, I reopen the Numeric class (which handles both fixed and floating-point Numbers) to add the gram and pound methods.

    清单2中,重新打开numeric(处理固定浮点数字)以便添加grampound方法。

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  • The reader attempts to convert the element content to a single-precision floating point number according to the rules defined by the W3C XML Schema Part 2: Datatypes recommendation.

    读取器尝试根据W3CXML结构描述2部分:资料型别建议定义规则,将项目内容转换成单精确度浮点

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  • Perhaps most confusing is the fact that you are viewing a base 2 floating point number in base 10!

    也许令人困惑事实基地2浮点基地10

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  • Perhaps most confusing is the fact that you are viewing a base 2 floating point number in base 10!

    也许令人困惑事实基地2浮点基地10

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