The non-ordered nature of NaN adds further opportunities for error when comparing floating point numbers.
NaN 的无序性质使得在比较浮点数时更容易发生错误。
The floating-point unit integrated into the CPU chip has signaled an error condition, such as numeric overflow or division by 0.
集成到CPU芯片的浮点数单元产生一个错误条件，比如数字溢出或者除0。
To analyze the rounding error of calculator floating-point Numbers arithmetic operation is the foundation of numerical calculation method's error analysis.
对计算机浮点数算术运算的舍入误差进行分析，是对数值计算方法作误差分析的基础。
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