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% ##########################################
clear;
lambda= 1.064E-6 ;
Ltot= 1.010675025828971 ;
r0= 1.0E+100 ;
w0= 2.563E-5 ;
x0= 0 ;
lns1.abcd=abcd_lens( 0.075 ) ;
lns1.x= 0.21358727296049 ;
lns2.abcd=abcd_lens( 0.075 ) ;
lns2.x= 0.40361319425309 ;
lns3.abcd=abcd_lens( 0.203 ) ;
lns3.x= 0.80361319425309 ;
wf= 3.709E-5 ;
rf= 1.0E+100 ;
xf= Ltot;
q0=wr2q(w0,r0,lambda);
x0=0;
qf=wr2q(wf,rf,lambda);
xf=Ltot;
optics={lns1,lns2,lns3};
figure(1)
w_final_handmade = solution_visualization(q0,x0, qf, xf, optics, lambda);
% ##########################################
%Initialize sample arrays
sample_energy = [];
sample_x = [];
for iteration = 1:10
optics_x_rand = sort(rand(1,3));
test_optics_x = optics_x_rand - min(optics_x_rand(:));
test_optics_x(1) = []; %delete first element in array
%Prevent random placements that are too close
while any(test_optics_x < .03) == 1
optics_x_rand = sort(rand(1,3));
test_optics_x = optics_x_rand - min(optics_x_rand(:));
test_optics_x(1) = [];
end
fitness_simplified=@(x) fitness(q0, qf, Ltot, x );
[x_sol, energy]=fminsearch(fitness_simplified, optics_x_rand, optimset('TolX',1e-8,'TolFun',1e-8,'MaxFunEvals',1e8,'MaxIter',2000));
sample_energy = [sample_energy; energy];
sample_x = [sample_x; x_sol];
iteration
end
energy_min = min(sample_energy(:));
index_of_energy_min = find(sample_energy == energy_min);
x_sol = sample_x(index_of_energy_min,:);
figure(2)
w_final_trial = solution_visualization(q0,x0, qf, xf, optics_placer(x_sol), lambda)
w_final_handmade
x_sol
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