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log 10 (3.000 × 10 4) = log 10 (10 4) + log 10 (3.000) = 4.000000... (exact number so infinite significant digits) + 0.477 1 212547... = 4.477 1 212547 ≈ 4.4771. When taking the antilogarithm of a normalized number, the result is rounded to have as many significant figures as the significant figures in the decimal part of the number to be ...
A fixed-point representation of a fractional number is essentially an integer that is to be implicitly multiplied by a fixed scaling factor. For example, the value 1.23 can be stored in a variable as the integer value 1230 with implicit scaling factor of 1/1000 (meaning that the last 3 decimal digits are implicitly assumed to be a decimal fraction), and the value 1 230 000 can be represented ...
As an illustration the use of powers of two in the scale factor, a scale factor of 1 ⁄ 16 can be applied to the above data set. The binary values for the original data set are given below: 154 = 1001 1010 101 = 0110 0101 54 = 0011 0110 3 = 0000 0011 0 = 0000 0000 160 = 1010 0000
Decimal digits is the precision of the format expressed in terms of an equivalent number of decimal digits. It is computed as digits × log 10 base. E.g. binary128 has approximately the same precision as a 34 digit decimal number. log 10 MAXVAL is a measure of the range of the encoding.
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This is usually measured in bits, but sometimes in decimal digits. It is related to precision in mathematics, which describes the number of digits that are used to express a value. Some of the standardized precision formats are: Half-precision floating-point format; Single-precision floating-point format; Double-precision floating-point format
4 bits – (a.k.a. tetrad(e), nibble, quadbit, semioctet, or halfbyte) the size of a hexadecimal digit; decimal digits in binary-coded decimal form 5 bits – the size of code points in the Baudot code, used in telex communication (a.k.a. pentad) 6 bits – the size of code points in Univac Fieldata, in IBM "BCD" format, and in Braille. Enough ...
Thus the 're-subtracting' of 1 leaves a mantissa ending in '100000000000000' instead of '010111000110010', representing a value of '1.1111111111117289E-4' rounded by Excel to 15 significant digits: '1.11111111111173E-4'. Of course mathematical 1 + x − 1 = x, 'floating point math' is sometimes a little different, that is not to be blamed on ...