Therefore the result of a floating-point calculation must often be rounded in order to fit back into its finite representation.
因此浮点计算的结果必须经常圆为了适应回其有限表示。
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。
Floating-point coding is adopted to optimize fuzzy control rules, it can improve the efficiency and accuracy of calculation, also can guarantee fastness and global optimal.
采用浮点数编码对模糊控制规则进行优化，既提高了运算效率和计算精度，又保证了控制系统的快速性和全局最优性。
Moreover, high precise floating number and skill of floating point calculation are not needed.
它速度快、硬件兼容性良好、可调，且不需要较高的精确浮点数或是浮点运算技巧。
However, since the fixed-point calculation maybe cause cumulative quantization error, the convergent performance of fixed-point equalizer is not better than that of floating-point equalizer.
但由于定点数运算会引起量化累积误差，均衡器的收敛速度比浮点数运算均衡器的收敛速度要慢，收敛后的稳定性也较差。
In the multibyte floating point calculations, the calculation of many functions, especially the complex functions, depend on the precision and speed of the square root calculation.
介绍一种可在微型机上由汇编语言完成的多字节浮点快速开平方运算的方法。
Floating-point (FP) arithmetic is usually used in many high accuracy calculation fields.
在很多高精度计算场合需要采用浮点运算。
Floating-point (FP) arithmetic is usually used in many high accuracy calculation fields.
在很多高精度计算场合需要采用浮点运算。
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