Optimizing lsqnonlin for Nonlinear Inverse Problems: Handling Large Unknown Parameter Sizes and Measurement Datasets
Can anyone provide insights or guidance on effectively utilizing the lsqnonlin function with the Levenberg-Marquardt algorithm and Tikhonov regularization for solving a nonlinear inverse problem with a large unknown parameter size of 109 and 380 measurements? Any tips on parameter initialization, optimization options, and dealing with computational challenges would be greatly appreciated!Can anyone provide insights or guidance on effectively utilizing the lsqnonlin function with the Levenberg-Marquardt algorithm and Tikhonov regularization for solving a nonlinear inverse problem with a large unknown parameter size of 109 and 380 measurements? Any tips on parameter initialization, optimization options, and dealing with computational challenges would be greatly appreciated! Can anyone provide insights or guidance on effectively utilizing the lsqnonlin function with the Levenberg-Marquardt algorithm and Tikhonov regularization for solving a nonlinear inverse problem with a large unknown parameter size of 109 and 380 measurements? Any tips on parameter initialization, optimization options, and dealing with computational challenges would be greatly appreciated! transferred MATLAB Answers — New Questions