fmincon instead of lsqcurvefit

options = optimoptions(@lsqcurvefit,'Algorithm','levenberg-marquardt','MaxIter',10000,'TolX',1e-12);
[p,resnorm,res,EXITFLAG,OUTPUT,LAMBDA,jocob]=lsqcurvefit(@fun725,p0,time,x,pL,pU);

While using this we are not getting proper value. How can we implement 'fmincon' or someother optimisation tools.

[Star Strider]

Note that ‘proper value’ is a matter of interpretation. It depends on what ‘fun725’ is, how you wrote it, and what initial parameter estimates you provided.

Some of the Global Optimization Toolbox functions can search the entire parameter space for the best parameter set, so using it would likely be appropriate.

Answer 1

[Shadaab Siddiqie]

If the problem is data fitting, then you should use 'lsqcurvefit' if possible. If the problem has nonlinear constraints, then see the random discussion.

if the problem is to find minimum, then you should use 'fmincon' if possible. It workes for nonlinear multivariable function.