Hi All
despite having defined a very tight tolerance and high MaxnoEvals and iteration , I get Fsolve Stalled. I don't know how to follow to use fminunc to find the local minimum possible
options = optimset('Display','iter','MaxFunEvals',1e8,'MaxIter',1e20,'TolFun',1e-15,'DerivativeCheck','on','Diagnostics','on'); Norm of First-order Trust-region Iteration Func-count f(x) step optimality radius 0 10 8.03914e+08 1.29e+07 1 1 20 7.75287e+08 1 1.26e+07 1 2 30 7.06551e+08 2.5 1.18e+07 2.5 3 40 5.51576e+08 6.25 9.92e+06 6.25 4 50 2.58383e+08 15.625 6.03e+06 15.6 5 60 7.16959e+06 39.0625 6.8e+05 39.1 6 70 22001.2 9.27933 3.08e+04 97.7 7 80 0.428073 0.565927 118 97.7 8 90 3.18478e-10 0.00322117 0.00386 97.7 9 100 2.03486e-22 9.70831e-08 5.31e-09 97.7 10 110 1.62955e-22 4.45752e-14 5.46e-09 97.7Equation solved, fsolve stalled.fsolve stopped because the relative size of the current step is less than thedefault value of the step size tolerance squared and the vector of function valuesis near zero as measured by the selected value of the function tolerance.<stopping criteria details>the error : Diagnostic InformationNumber of variables: 9Functions Objective: root2dGradient: finite-differencing Algorithm selected trust-region-dogleg____________________________________________________________ End diagnostic informationError using trustnleqn (line 28)Objective function is returning undefined values at initial point. FSOLVE cannot continue.Error in fsolve (line 388) trustnleqn(funfcn,x,verbosity,gradflag,options,defaultopt,f,JAC,...Error in Fsolver (line 91) [x,fval,exitflag,output] = fsolve(fun,x0,options);
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