Hi I'm trying to use lsqnonlin with this system:
'file.m' if true % code
function y = prova_in_s(x,Sm,S_std,g_m,g_l)
T1=tras_scatter_par(Sm(:,1:2)); T_std1=tras_scatter_par(S_std(:,1:2)); S_probe=[x(1)+i*x(5),x(2)+i*x(6);x(3)+i*x(7),x(4)+i*x(8)]; T_probe=tras_scatter_par(S_probe);
parz=[real(T_probe*T_std1*T_probe-T1); imag(T_probe*T_std1*T_probe-T1)];
if numel(Sm)>4 T2=tras_scatter_par(Sm(:,3:4)); T_std2=tras_scatter_par(S_std(:,3:4));
parz2=[real(T_probe*T_std2*T_probe-T2); imag(T_probe*T_std2*T_probe-T2)];
% parz2=[real(T_probe*T_std2); % imag(T_probe*T_std2)]; %
end
for cicles=1:numel(g_m) loadst(cicles)=(g_l(cicles)*(T_probe(1,2))/(T_probe(1,1))+1)*g_m(cicles)-g_l(cicles)*det(T_probe)*(T_probe(2,2))/(T_probe(1,1))-((T_probe(2,1))/(T_probe(1,1))); end
for cicles=1:numel(g_m) if cicles==1 parz_load=[real(loadst(cicles));imag(loadst(cicles))]; else parz_load=[parz_load;real(loadst(cicles));imag(loadst(cicles))]; end end
y1=[parz(1);parz(2);parz(3);parz(4);parz(5);parz(6);parz(7);parz(8);parz_load];
y2=[parz(1);parz(2);parz(3);parz(4);parz(5);parz(6);parz(7);parz(8)];
if numel(Sm)>4 y=[y1;y2]; else y=y1;
end end
The problem consists in:
varyng the coefficients of the equations the solver calculate a wrong solution with an error of 20-30 % from the real solution. I thought that a reason is that the solution is not unique...so the choose of the intial guess, x0, is fundamental...i could adjust the FunTol too..anyway i call lsqnonlin in this form: " [x_sol,resnorm] = lsqnonlin(@(x)prova_in_s(x,a,b,c,gamma_std),x0,lbo,ubo); " how can i adjust FunTol? if I try to pass the option structure it return me an error. I read also thet optimset is not valid for lsqnonlin, so how i can adjust the options like algorithm etc.. Thank you in advance for your help.
