Why is not possible to put the SpecifyObjectiveGradient option to true in case of Levenberg-Marquardt?
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As I know from the theory, the Levenberg-Marquardt algorithm also needs to compute the Gradient and the Hessian. If I set the SpecifyObjectiveGradient property to true and I define the gradients explicitly, the lsqnonlin command chooses the trust-region-reflective method instead of the Levenberg-Marquardt to solve the problem. I don't understand, why I cannot reduce the number of function evaluations for the Levenberg-Marquardt algorithm by defining the gradient? Thanks for your help!
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Elizabeth Reese
2017-9-6
The default algorithm for lsqnonlin is the trust-region-reflective method. In order to use the Levenberg-Marquardt algorithm and the SpecifyObjectiveGradient flag, you need you specify both in the options for the lsqnonlin problem. For example:
options = optimoptions(@lsqnonlin,'Algorithm','levenberg-marquardt','SpecifyObjectiveGradient',true);
Then you can specify the gradient using the input function described at the link below.
Finally, you can call lsqnonlin as with the following syntax:
x = lsqnonlin(fun,x0,lb,ub,options);
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Alan Weiss
2017-9-11
I cannot reproduce your observation. When I run lsqnonlin with Algorithm = 'levenberg-marquardt' and SpecifyObjectiveGradient = true, and use the debugger to follow the code path that lsqnonlin takes, then I see it using the Levenberg-Marquardt algorithm.
Alan Weiss
MATLAB mathematical toolbox documentation
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