According to Is floating point math broken?, I know 0.1 cannot represent exactly in floating point numbers and will be rounded to some values.  According to Is hardcode float precise if it can be represented by binary format in IEEE 754?, some number...
I'm wondering what are the case to be used for Infinity under IEEE-754? Is it used when overflow (positive infinity) or underflow (negative infinity) occurs?...
I struggle with the result of my nodejs-JDBC-MSSQL-Binary-ResultValue. From my database I've got this    [-78,119,99,63] // this is an array of signed Chars   In hex, 0xB2, 0x77, 0x63, 0x3F in big endian and 0x3F6377B2 as little endian.  After co...
Why do comparisons of NaN values behave differently from all other values? That is, all comparisons with the operators ==, <=, >=, <, > where one or both values is NaN returns false, contrary to the behaviour of all other values.  I suppo...
I have a javascript calculation to do:  var temp = ((1 + 0.07)^(1/12))-1;   The actual answer for this is:  0.00565414539  On the ^(1/12) (0.833..) you get 1.00565414539  However, Javascript automatically rounds this to 1.  Any fixes for this?  There...
I've looked around Stackoverflow for a few days trying to solve this problem and played in JsFiddle for a while but no luck so far.  Here's my problem: i receive a base64 encoded string which is packed with several values. Both Unsigned Integ...
From what I understand, the famous   (0.1 + 0.2) !== 0.3   gotcha is not actually Javascript's fault. Thats just the way the IEEE 754 works. A similar output happens in Python, which also follows the IEEE 754 rules.  Then how come this particular...
I've just checked how the number 3 is stored and it's stored like this:  0 10000000000 1000000000000000000000000000000000000000000000000000   whereas I expected it to be stored like this:  0 10000000000 000000000000000000000000000000000000000...
When converting data to/from a Buffer using 32-bit floating point numbers, it seems that nodejs extends the float to double using some criteria that makes the transformation not reversible:  > f=3.81357913e+32 3.81357913e+32  > b.Buffer.alloc(4...
I know a little bit about how floating-point numbers are represented, but not enough, I'm afraid.  The general question is:      For a given precision (for my purposes, the number of accurate decimal places in base 10), what range of numbers can...

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