Le 13/09/2019 à 17:32, Samuel Gougeon a écrit :
Le 13/09/2019 à 17:20, Stéphane Mottelet a écrit :
Le 13/09/2019 à 17:13, Samuel Gougeon a écrit :
Le 13/09/2019 à 16:59, Stéphane Mottelet a écrit :
Le 13/09/2019 à 16:52, Samuel Gougeon a écrit :
Le 13/09/2019 à 14:22, Stéphane Mottelet a écrit :
However, as I already said it elsewhere, some glitches such as
the following one do occur (see the display of whole x)
--> x=1:0.1:2
x =
1. 1.1 1.2 1.3 1.4 1.5 1.6 1.7000000 1.8 1.9 2.
I agree with Christophe. This output is OK for me. Aestheticism
must be encouraged provided that it does not truncate or downgrade
the information.
About padding every number: Not OK. This would kill one of the
assets of the "v" format: its compacity.
About the fact that 1.7 can't be exactly encoded: It is very
surprising for a so limited decimal number. But OK. I am also
quite surprised that, in this series, only 1.7 can't be exactly
encoded.
bitstring allows to see that only 1, 1.5 and 2 are exactly encoded
So, question: Why 1.1 1.2 1.3 1.4 1.6 1.8 and 1.9 are displayed
without trailing 0, while 1.7 is?
The argument/explanation according to which 1.7 can't be exactly
encoded does not tell all...
By using format(24) in current Scilab version you will have the
explanation :
--> (1:0.1:2)'
ans =
1.
1.100000000000000088818
1.199999999999999955591
1.300000000000000044409
1.399999999999999911182
1.5
1.600000000000000088818
1.700000000000000177636
1.8
1.9
2.
You have (1.700000000000000177636-1.7) >= %eps but for the others the
difference is lower
This is an excellent piece of news. This means that the 1.700000000
"glitch" is meaningful,
yes
and the 0-removing algo is OK. Doesn't it?
also yes
The only issue is that (1.700000000000000177636-1.7) should not be >=
%eps.
But this issue is not related to the display.
yeah, we actually got :
--> x=(1:0.1:2); bitstring(x(8)), bitstring(1.7)
ans =
0011111111111011001100110011001100110011001100110011001100110100
ans =
0011111111111011001100110011001100110011001100110011001100110011
the one bit difference is due to the way implicit vectors are computed.
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--
Stéphane Mottelet
Ingénieur de recherche
EA 4297 Transformations Intégrées de la Matière Renouvelable
Département Génie des Procédés Industriels
Sorbonne Universités - Université de Technologie de Compiègne
CS 60319, 60203 Compiègne cedex
Tel : +33(0)344234688
http://www.utc.fr/~mottelet
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