Possibly you understand now why in Gaussian Elimination I chose to 
arbitrarily set the midpoint along the x-axis to zero and keep the 
numbers along the scale in fairly tight range, and perform the calcs 
in double precission ... yes ?

--- In [email protected], "Tom Tom" <[EMAIL PROTECTED]> wrote:
>
> So after further investigation.
> 
> 
> I code loop in VBS double. Result is not the same than SUM, nor 
FOR.
> So SUM or FOR are not exact, but they act not the same in 
rounding. I thing 
> the arythmetic order to calculate is not the same in FOR and in 
SUM so 
> rounding are different, so result are different.
> But one or other, result is not accurate.
> If I want to stay in AFL and I had to choose between SUM and FOR, 
wich one I 
> will go ? As they are both innacurate, SUM seems better ?
> 
> 
> I test max/min number for AFL after reading the link from Paul : 
> http://en.wikipedia.org/wiki/IEEE_754
> 
> Code :
> 
> ieee = -1e10;
> _TRACE("IEEE:"+ ieee); // to show exponent
> _TRACE("IEEE:"+ NumToStr(ieee,1.9) ); // to show innacurate digit
> 
> And try after with :
> ieee = 1e11;
> 
> exponant should go from -126 to +127, but in our case :
> ieee = 1e-10; -> result are infinite
> ieee = 1e11; -> ok for direct trace, but with numtostr there is 
rounding and 
> do not use exponent notation
> ieee = 1e39; -> result are infinite
> 
> So my question, wy exponent go from -10 to 39 !?
> And NumToStr(x,1.9), seems to send back rounding result. Cannot it 
send back 
> with exponent notation and no rounding like direct _trace ?
> 
> Second, accuracy seems 7 digit, but it should be 6 digit ? (max 
number from 
> the mantisse is 2^23 - 1 = 8388607, that give 7 number so six 
digit sure).
> Try: ieee = 99999981
> 7th digit is ok. 8th digit is wrong.
> 
> So AB use wich encoding (not IEEE_754 ?) and difference between 
direct 
> _trace and _trace with NumToStr come from NumToStr wich make 
rounding for 
> big exponent ?
> 
> Cheers,
> Mich.
> 
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