How to turn this function into function with handle that is suitable for particle swarm ?

I have a function like this :

function y = Sum_throughput_U1_phase2(beta,a1_t2,a2_t2, SNRdB,M, Rate1, Rate2,eta_BS,xai,L1,L3)

gama1 = 2^(2*Rate1/(1-beta)) - 1;
gama2 = 2^(2*Rate2/(1-beta)) - 1;

phi1 = 0;
constraint1 = a1_t2 - phi1*gama1*a2_t2 > 0;
constraint2 = a2_t2 - gama2*a1_t2 > 0;

if constraint1 && constraint2
    SNR = 10^(SNRdB/10);
    
    Psi1 = 2*eta_BS*beta/(1-beta);
    cuc1 = gama1/(a1_t2*xai*Psi1*SNR);
    cuc2 = gama2/( (a2_t2-gama2*a1_t2)*(xai*Psi1*SNR) );
    delta_one = max(cuc1,cuc2);
    term1 = 2/factorial(M-1);
    term2 = delta_one/(L3*L1);
    Outage_Near_User = 1 - term1*power(term2,M/2)*besselk(M,2*sqrt(term2));
elseif ~constraint1 && ~constraint2
    Outage_Near_User=1;
end


y = (1-Outage_Near_User)*Rate1;
end

Bassically it compute this thing here which is called the throughput

I want to optimize this throughput with respect to 3 variables by using particle swarm optimization particleswarm(fun,nvars):

beta,a1_t2,a2_t2

However the tutorial from https://www.mathworks.com/help/gads/particleswarm.html

Require to add something call function handle @(x).

Please help me to turn the function Sum_throughput_U1_phase2(beta,a1_t2,a2_t2, SNRdB,M, Rate1, Rate2,eta_BS,xai,L1,L3) into the function with handle that is suitable for using particle swarm optimization with three decision variable beta,a1_t2,a2_t2

Note that .

I just have one thinking that it might be possible throught the use of the funcion matlabFunction to Convert symbolic expression to function handle or file but still strugle with the actual implementation !

https://www.mathworks.com/help/symbolic/matlabfunction.html

P/S Any help that mirror the situation is okay, I dont want you to waste too much time

Thank you very much !

[Stephen23]

As you are not using symbolic variables the symbolic toolbox function matlabFunction is unlikely to help you.

For the inputs that you want to optimize, define them as one input to your function, following the instructions here:

https://www.mathworks.com/help/gads/computing-objective-functions.html

For the rest of those inputs you can parameterize the function:

https://www.mathworks.com/help/matlab/math/parameterizing-functions.html

https://www.mathworks.com/help/optim/ug/passing-extra-parameters.html