User:Nsmeds/sandbox

Test table
Note that in the table above, the minimum exponents listed are for normal numbers; the special subnormal number representation allows even smaller numbers to be represented (with some loss of precision). For example, the smallest positive number that can be represented in binary64 is 2−1074; contributions to the −1074 figure include the E min value −1022 and all but one of the 53 significand bits (2−1022 − (53 − 1) = 2−1074).

Decimal digits is the precision of the format expressed in terms of an equivalent number of decimal digits. It is computed as digits × log10 base. Eg binary128 has approximately the same precision as a 34 digit decimal number.

log10 MAX is a measure of the range of the encoding. Its integer part is the largest exponent shown on the output of a value in scientific notation with one leading digit in the significand before the decimal point (eg 1.698·1038 is near the largest value in binary32, 9.999999·1096 is the largest value in decimal32)

Original table
Note that in the table above, the minimum exponents listed are for normal numbers; the special subnormal number representation allows even smaller numbers to be represented (with some loss of precision). For example, the smallest positive number that can be represented in binary64 is 2−1074; contributions to the −1074 figure include the E min value −1022 and all but one of the 53 significand bits (2−1022 − (53 − 1) = 2−1074).

Decimal digits is the precision of the format expressed in terms of an equivalent number of decimal digits. It is computed as digits × log10 base. Eg binary128 has approximately the same precision as a 34 digit decimal number.

log10 MAX is a measure of the range of the encoding. Its integer part is the largest exponent shown on the output of a value in scientific notation with one leading digit in the significand before the decimal point (eg 1.698·1038 is near the largest value in binary32, 9.999999·1096 is the largest value in decimal32)