Why does fplot think my function is not vectorized

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Executing the following as a script in R2018a
fun=@(x) myFourier(x,a,b,b0);
function f=myFourier(x,a,b,b0)
results successfully in a plot, but throws warnings (EDIT: and results in non-vectorized execution!!!)
Warning: Function behaves unexpectedly on array inputs. To improve performance, properly vectorize your
function to return an output with the same size and shape as the input arguments.
> In matlab.graphics.function.FunctionLine>getFunction
In matlab.graphics.function.FunctionLine/updateFunction
In matlab.graphics.function.FunctionLine/set.Function_I
In matlab.graphics.function.FunctionLine/set.Function
In matlab.graphics.function.FunctionLine
In fplot>singleFplot (line 234)
In fplot>@(f)singleFplot(cax,{f},limits,extraOpts,args) (line 193)
In fplot>vectorizeFplot (line 193)
In fplot (line 163)
In test (line 7)
But the input function is properly vectorized as is easily verified in simple tests,
>> fun(rand(1,5))
ans =
3.4371 2.5677 14.1698 2.4490 1.0828
>> fun(rand(5,1))
ans =
Why the warnings, then?

Accepted Answer

Walter Roberson
Walter Roberson on 31 May 2019
f1 = fun(1);
f2 = fun([1 2]);
f1 - f2(1)
ans =
Your code produces different outputs for the same input, which violates the rule that the calculations must be independent.
Matt J
Matt J on 5 Jun 2019
Edited: Matt J on 5 Jun 2019
Tech support got back to me and confirmed Walter's explanation of the problem, and said they will look into remedies for future releases. I passed on to them my suggestions for fixes as well.

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More Answers (3)

dpb on 31 May 2019
Because fplot is just looking at the source code, not the output and it doesn't recognize the reshape operation at the end--only that there are no "dot" operators in the evaluation from which it infers (usually correctly, but as you've shown not infallibly) that the function isn't "vectorized".
Whether there's any chance of being able to get this one right without way more parsing logic than would want to use for performance is, I'm guessing, pretty small. You can't just presume that if the user has a reshape call in the function that always works correctly, either.
dpb on 2 Jun 2019
This could well be the basis for an enhancement/quality of implemenation improvement request.

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Catalytic on 7 Jun 2019
Here's a workaround to trick fplot into doing the right thing.

Yair Altman
Yair Altman on 22 Jun 2019
As far as I can tell (never mind exactly how), internally a check is made whether the output of fun(1:3) is exactly equaln to the output of [fun(1),fun(2),fun(3)]. Even a tiny FP eps difference will cause the warning to be evoked. If you want to disable the error in run-time, run the following command:
warning off MATLAB:fplot:NotVectorized
  1 Comment
Matt J
Matt J on 25 Jun 2019
Edited: Matt J on 25 Jun 2019
Thanks, Yair. But disabling the warning still leaves the bigger problem of execution efficiency. fplot will still go ahead and evaluate fun in non-vectorized (therefore slow) fashion based on the fun(1:3) test, even with the warning disabled.

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