Floating point operation is real op

浮点运算是实数运算，因为计算机只能存储整数，所以实数就是除数，因此浮点运算非常慢，并且会出现错误。大多数机器是32位的，也就是说，32位用于表示整数。对于无符号整数，它是0到2 ^ 32-1。对于有符号整数，它是-2 ^ 31到2 ^ 31-1。<br>浮点算术是浮点算术的结构。目前，它是通过电路实现的，并应用于计算机芯片。这是整数运算之后的一大进步，因为在浮点运算发明之前，计算机中的浮点运算是通过整数运算来模拟的，效率非常低。<br>1.浮点加减运算步骤<br>设置两个浮点数x = MX※2ex y =我的※2ey <br>要达到x±y，需要执行以下五个步骤：<br>①相反的顺序运算：小订单到大订单<br>②加和减去尾数<br>③归一化处理：结果尾数运算的位数必须是归一化的浮点数。对于双符号位的补码尾数，必须为001××XX或110 XX。如果××的形式不符合上述形式，则应使用左或右量规进行处理。<br>④舍入运算：为了确保精度，通常使用“ 0”到“ 1”的舍入方法对移到右边的尾数进行舍入。<br>⑤判断结果的正确性：检查订单代码是否溢出<br>如果订单代码下溢（移位代码表示00 0），则将结果设置为机器0；否则，将结果设置为0。<br>如果订购代码溢出（超过订购代码表示的最大值），则设置溢出标志。<br>2.浮点数乘法和除法运算步骤<br>0①指令代码运算：指令代码总和（乘法）或指令代码差（除法），<br>即[ex + ey] shift = [ex] Shift + [ey]补充<br>[ex ] ey] shift = [ex] Shift + [-ey]补充<br>②浮点数的尾数处理：浮点数的尾数乘法和除法运算结果应四舍五入。

Floating point operation is real operation, because the computer can only store integers, so real numbers are divisors, so floating point operation is very slow and there will be errors. Most machines are 32-bit, that is to say, 32 bits are used to represent integers. For an unsigned integer, it is 0 to 2 ^ 32-1. For a signed integer, it is - 2 ^ 31 to 2 ^ 31-1.<br>Floating point arithmetic is the structure of floating-point arithmetic. At present, it is realized by circuit and applied in computer chip. It is a great development after the integer arithmetic because before the invention of the floating-point arithmetic, the floating-point arithmetic in the computer was simulated by integer arithmetic, which is very inefficient.<br>1. Operation steps of floating-point addition and subtraction<br>Set two floating-point numbers x = MX ※ 2ex y = my ※ 2ey<br>To achieve x ± y, the following five steps are required:<br>① Opposite order operation: small order to large order<br>② Add and subtract mantissa<br>③ Normalization processing: the result of mantissa operation must be a normalized floating-point number. For the complement mantissa of double sign bits, it must be 001 ×× XX or 110 XX If the form of ×× does not conform to the above form, it shall be handled with left or right gauge.<br>④ Rounding operation: in order to ensure accuracy, the rounding method of "0" to "1" is often used to round the mantissa value moved out to the right.<br>⑤ Correctness of judgment result: that is, check whether the order code overflows<br>If the order code underflow (shift code means 00 0), set the result to machine 0;<br>If the order code overflows (exceeding the maximum value represented by the order code), set the overflow flag.<br>2. Operation step 0 of floating point multiplication and division<br>① Order code operation: order code sum (multiplication) or order code difference (Division)<br>That is, [ex + ey] shift = [ex] Shift + [ey] supplement<br>[ex ey] shift = [ex] Shift + [- ey] supplement<br>② Mantissa processing of floating-point numbers: the result of mantissa multiplication and division in floating-point numbers should be rounded.

浮点运算是实运算，因为计算机只能存储整数，所以实数是除数，所以浮点运算速度很慢，而且会出现错误。大多数机器是32位的，也就是说，32位用来表示整数。对于无符号整数，它是0到2^32-1。对于有符号整数，它是-2^31到2^31-1。<br>浮点运算是浮点运算的结构。目前，它是通过电路实现的，并应用于计算机芯片中。在整数运算之后，这是一个很大的发展，因为在浮点运算发明之前，计算机中的浮点运算是用整数运算模拟的，效率很低。<br>一。浮点加减运算步骤<br>设置两个浮点数x=MX※2ex y=my※2ey<br>要实现x±y，需要以下五个步骤：<br>① 逆序操作：小订单到大订单<br>② 加减尾数<br>③ 规范化处理：尾数运算的结果必须是规范化的浮点数。双号位补码尾数必须为001××XX或110xx，如××格式与上述格式不符，则用左或右轨距处理。<br>④ 四舍五入操作：为了保证精度，通常使用“0”到“1”的四舍五入方法对向右移动的尾数值进行四舍五入。<br>⑤ 判断结果正确：即检查订单代码是否溢出<br>如果订单代码下溢（移位代码表示00 0），则将结果设置为机器0；<br>如果订单代码溢出（超过订单代码表示的最大值），请设置溢出标志。<br>2。浮点乘除运算步骤0<br>① 顺序码运算：顺序码和（乘）或顺序码差（除）<br>即，[ex+ey]shift=[ex]shift+[ey]补充<br>[ex ey]shift=[ex]shift+[-ey]补充<br>② 浮点数的尾数处理：浮点数的尾数乘法和除法的结果应该四舍五入。<br>