Hello,

This is my function definition.

function E_j = E_fld_integ(facet_flag, pd, lower_limit, upper_limit)

F = @(x)(exp(1i*pd).*exp(1i*k*x*sin_theta));

G = @(x)(exp(1i.*(pd + (pd_def_min-sqrt(pd_def_min^2-x.^2)) ) )...

.* exp(1i*k*x.*sin_theta) );

% case 1: E_j = integral(F, lower_limit, upper_limit, 'ArrayValued', true);

% case 2: E_j = integral(G, lower_limit, upper_limit, 'ArrayValued', true);

Where F and G are functions of variable 'x'. All other names(k, pd_def_min, pd) are constants. Although 'sin_theta' is a vector with 1000 values.

Let us consider values of constants:

lower_limit = 30000; upper_limit = 50000; pd = 0; pd_def_min = 95;

Goal: I would like the result of the definite integral to be an array of 1000 double-valued complex numbers in both cases above for F and G functions respectively.

Current scenario and problem:

1. F evaluates conveniently with the provided limits.

2. Whereas evaluation of G translates to the following error:

- Warning: Infinite or Not-a-Number value encountered.
- > In integralCalc/iterateArrayValued (line 267)
- In integralCalc/vadapt (line 130)
- In integralCalc (line 75)
- In integral (line 88)
- In [mainfunctioncall]>E_fld_integ (line 206)

Could someone help me understand as to what is happening and is there a more elegant (and fast execution-wise) solution for the above goal?

Do I have to use Taylor's expansion or Bessels integrals to solve for "G" ?

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