可能会有一些优势比浮点数运算整数运算，做如下解释。
There might be some advantage to doing integer arithmetic than floating-point arithmetic, as explained below.
直接用泰劳级数在浮点数运算下计算指数、对数函数的值有严重缺点。
There are serious disadvantages with calculating the value of exponential and logarithmic functions by directly using the Taylor series.
浮点数运算模块是采用浮点数格式化等子程序对数据进行处理，提高了数据的运算精度；
The floating point numbers operation modularization deals with data through floating point numbers program of format, multiplication and division, which improves operation precision of the data;
该单片机集成度高、硬件结构紧凑并采用浮点数运算，实验证明，整个系统的快速性与可靠性均较理想。
It's proved by experiment that the whole system has a high speed and good reliability, because the single chip computer has high integration, compact hardware structure and floating number.
为解决状态观测器中采用传统浮点数运算时，因自动下溢出产生误差的问题，提出全整数运算算法提高控制精度。
To avoid the cumulative error problem caused by auto-overflow in state observer floating operation, the whole-integer operation was proposed to improve the control precision.
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。
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.
记住，整形数运算要比浮点数运算快得多，因为处理器可以直接进行整型数运算，浮点数运算需要依赖于外部的浮点数处理器或者浮点数数学库。
Remember, integer arithmetic is much faster than floating-point arithmetic, as it can usually be done directly by the processor, rather than relying on external FPUs or floating point math libraries.
通常的经验是，在Android设备中，浮点数会比整型慢两倍，在缺少FPU和JIT的G1上对比有FPU和JIT的Nexus One中确实如此（两种设备间算术运算的绝对速度差大约是10倍）
This is true on a FPU-less, JIT-less G1 and a Nexus One with an FPU and the JIT. (Of course, absolute speed difference between those two devices is about 10x for arithmetic operations.)
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。
To analyze the rounding error of calculator floating-point Numbers arithmetic operation is the foundation of numerical calculation method's error analysis.
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。
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.
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。
Moreover, high precise floating number and skill of floating point calculation are not needed.
为了避免频繁的取整运算，提出了采样点分解方法，巧妙地避免了浮点数的取整运算。
To avoid the frequently truncating operation, the technique of sampled points decomposing is proposed.
浮点数加法运算是浮点运算中使用频率最高的运算。
The Floating-point addition is the highest frequent operator.
针对定点型dsp的特点设计了定点数与浮点数的转换程序，完成定点型dsp的浮点运算。
Design the fixed point and floating-point conversion process for fixed-point type DSP, completion floating operation of fixed-point type DSP.
论述了一种结构精简且高效的浮点数蝶形运算单元设计，单元内部模块的使用效率接 近100%。
This paper presents an efficient design of butterfly unit with simplified structure. The occupating coefficient of inner modules of the unit is almost 100%.
SQL不支持对浮点数字使用取模运算符。
SQL does not support the modulus operator on floating-point Numbers.
研究DSPTMS3 2 0 F2 40浮点数开平方的理论方法，采用牛顿迭代法完成浮点数开方运算。
Theory method of float evolution based on DSP TMS320F240 is studied. Newton iterative method is used for float evolution.
研究DSPTMS3 2 0 F2 40浮点数开平方的理论方法，采用牛顿迭代法完成浮点数开方运算。
Theory method of float evolution based on DSP TMS320F240 is studied. Newton iterative method is used for float evolution.
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