A decimal to IEEE 754 binary floating-point converter, which produces correctly rounded single-precision and double-precision conversions.
A floating point representation which permits exact conversion of decimal numbers is discussed. This requires the exponent to represent a power of ten, and thus decimal shifts of the binary mantissa are needed. A specialized design is analyzed for the problem of division by ten, which is needed...
A floating point representation which permits exact conversion of decimal numbers is discussed. This requires the exponent to represent a power of ten, and thus decimal shifts of the binary mantissa are needed. A specialized design is analyzed for the problem of division by ten, which is needed...
除了整数以外,我们还有很多浮点数的操作。 规定小数点的位置,小数点的位置可以来区分不同的浮点数,那么我们为什么不使用这样的方法?(定点数) 因为这样的话,精度每提高一位,窗口缩小一倍,浮点数表示的范围比较大。 (-2k-1-(2k-1-1))*2-1 为什么浮点数可以表示一个更大的范围? 牺牲了比较大的部分的精度。 2...
convert uint to hex representation convert unsigned 16 int in to MSB and LSB Convert utf-16 xml to utf-8 Convert var query to DataTable Convert variable name to a string? Convert Vb.net "CreateObject("Excel.Application")" into C#.net Convert VB.net project to C#.net Project convert vb6...
8. A radix numeration system in which the location of the decimal point is indicated by an exponent of the radix; the floating-point representation of 0.0012 is 0.l2-2 where -2 is the exponent. 小数点位置由基数指数表示出来的一种计算根的方法;0.0012的浮点表示法是0.12-2,这里-2是指数。
necessary. For example, a decimal fraction like 0.1 has an infinite binary representation, so it must be rounded to 53 significant bits. A large integer like 9007199254740997 has a binary representation that, although finite, is more than 53 bits long; it must also be rounded to 53 bits. ...
Trailing fractional zeros (for example, in the number 2.40) are ignored in binary floating-point arithmetic, because the common (IEEE 754) representation of such numbers cannot distinguish numbers of equal value. However, decimal numbers can preserve the zero in the example because they are almos...
The IEEE 754 specification provides four rounding modes: round to nearest, round up, round down, and round to zero. Microsoft SQL Server uses round up. All are accurate to the guaranteed precision but can result in slightly different floating-point values. Because the binary representation of a...
It is quite possible for decimal arithmetic to be normalized, even if the encoding (representation) of numbers is not. A floating-point unit can easily offer both normalized and unnormalized arithmetic, either under the control of a context flag or by a specific ‘normalize’ instruction (the ...