Use of 'ArrayValued' in Matlab numerical integration

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Why in Matlab numerical integration
f = @(x) 5;
needs 'ArrayValued',true ... while
f = @(x) x;
don't need it?

Accepted Answer

Davide Masiello
Davide Masiello on 23 Sep 2022
Edited: Davide Masiello on 23 Sep 2022
Let's take a look at the error message
f = @(x) 5;
Error using integralCalc/finalInputChecks
Output of the function must be the same size as the input. If FUN is an array-valued integrand, set the 'ArrayValued' option to true.

Error in integralCalc/iterateScalarValued (line 315)

Error in integralCalc/vadapt (line 132)
[q,errbnd] = iterateScalarValued(u,tinterval,pathlen);

Error in integralCalc (line 75)
[q,errbnd] = vadapt(@AtoBInvTransform,interval);

Error in integral (line 87)
Q = integralCalc(fun,a,b,opstruct);
The important line here is "Output of the function must be the same size as the input".
I believe this could be due to the fact that integral passes a whole array of x-values in the attempt to integrate the function within the default tolerances.
If your functions does not depend on x, then the ouput would be a single scalar and therefore different from the input.
Specifing 'ArrayValued' as true, you tell the solver that the output must be an array the same size as the x passed to it.
In fact, you could try to integrate an equivalent function where the dependance on x is explicit, and it would work without specifying 'ArrayValued' as true.
f = @(x) 5*(x-x+1);

More Answers (1)

Torsten on 23 Sep 2022
f = @(x) 5*ones(size(x));
ans = 10


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