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- Note that casting a value to a binary floating point type, such as xs: float, xs: double, or any one of their subtypes, may lose precision. 请注意,如果将值转换为二进制浮点类型(如xs:float、xs:double)或它们的任意子类型,可能会丧失精度。
- For example, calculating a 5% tax on a 70 cent phone charge gives different results in decimal floating point and binary floating point. 例如，计算一次70分钟电话费对应的5%25的税费，使用十进制浮点数和二进制浮点数的结果是不同的。
- The MIPS platform does not support the full precision specified by the Standard for Binary Floating Point Arithmetic specification, and can cause unpredictable results. MIPS平台不支持二进制浮点算术标准规范指定的完全精度,可能会导致不可预知的结果。
- Gets or sets a value indicating whether the device is fastest with floating point data. 获取或设置一个值,该值指示对于浮点数据来说,设备是否是最快的。
- The nullability property of arithmetic operators over floating point data type is always nullable. 对浮点数据类型执行运算的算术运算符的为空性属性始终可为空。
- MIU Memory Interface Unit. This is responsible for data conversion and formatting for floating point data types. 内存接口单元此负责浮点数类型的数据转换和格式。
- BFPR Binary Floating Point Register 二进制浮点寄存器英国情报部
- BFPR (Binary Floating Point Register) 二进制浮点寄存器
- double precision binary floating point field 双精度二进制浮点字段
- double precision floating point data 双精度浮点数
- IEEE Standard 754 for Binary Floating Point Arithmetic by Prof.W.Kahan（PDF）： 早期的关于浮点数的文章，写得非常棒，值得一看。
- binary floating point constant 二进制浮点常数
- binary floating point resistor 二进制浮点电阻器
- Design of 10 Pipeline Stages Multiplier for Double Precision Floating Point Data 10级流水线双精度浮点乘法器的设计
- Unable to read reparse point data buffer. 无法读取重分析点数据缓冲区。
- Static Superscalar architecture which supports 1, 8, 16 and 32-bit fixed point as well as floating point data processing 静态超标量体系结构支持1、8、16和32位定点和浮点数据处理
- A single-precision floating point number. 单精度浮点数。
- The floating point value NaN is not supported. 不支持浮点值NaN。
- The data for training.Usually lots of real (floating point) numbers. 就是用来 train 的资料，通常是一堆实数。
- Grid: A surface thematic interpolating point data over a region. 网格：一种表面专题插值数据点的区域。
