Precision Error in logical evaluation?

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Nathan
Nathan el 14 de Mayo de 2014
Editada: Star Strider el 14 de Mayo de 2014
In debugging some code I found the following results confusing. Anyone know how to further investigate this? Or do I simply need to avoid dividing a number by itself? I thought MatLab was "smart" enough to use 1 for the fraction of CF/CF. BTW I'm using R2014a student version on a mid 2009 Mac book pro with OSX 10.9.2
Here is the actual code that causes problems only some of the time as this is inside a function that is called 1000's of times but this error only happens a handful of them.
PL=fzero(@(y)(...
(s.State(6).H-s.State(4).H)*M_Dot/eta_pump...
-y*CVTModel_NV(RPM_Pump/RPM_Exp,y/CF)),[0.2*CF CF])/CF;
This is what I did at the command prompt in debugger mode at the line.
CVTModel_NV(RPM_Pump/RPM_Exp,0.2*CF/CF)
ans =
NaN
K>> CVTModel_NV(RPM_Pump/RPM_Exp,0.2)
ans =
0.828663580586898
K>> 0.2*CF/CF
ans =
0.200000000000000
K>> CVTModel_NV(RPM_Pump/RPM_Exp,ans)
ans =
NaN
K>> CF
CF =
2.669084425186238e+03
K>> CVTModel_NV(RPM_Pump/RPM_Exp,0.200000000000000000000)
ans =
0.828663580586898
At this point I commented this line out of the function CVTModel_NV:
Eff(SR>2|SR<0.5|PL<0.2|PL>1)=NaN; % to limit results to applicable area
And then got the following results:
K>> CVTModel_NV(RPM_Pump/RPM_Exp,0.2*CF/CF)
ans =
0.828663580586898
Then further testing reviled the problem.
K>> CF/CF
ans =
1
K>> 0.2*CF/CF<0.2
ans =
1
K>> 0.2*CF/CF==0.2
ans =
0

Respuesta aceptada

Nathan
Nathan el 14 de Mayo de 2014
Adjusting the code to avoid the division repaired the problem. Goes to show that programing in MatLab while quite user friendly, it still requires some training in numerics....
PL=fzero(@(y)(...
(s.State(6).H-s.State(4).H)*M_Dot/eta_pump...
-y*CF*CVTModel_NV(RPM_Pump/RPM_Exp,y)),[0.2 1]);
  1 comentario
Star Strider
Star Strider el 14 de Mayo de 2014
Editada: Star Strider el 14 de Mayo de 2014
Vectorizing them may also have solved it. If it only occurred a handful of times, those times could have been when the elements were vectors rather than scalars, and required element-wise operations.
You don’t tell us what the error was, so we’ll never know.

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