Optimization with non linear least square regression
In an optimisation problem I have 4 parameters to optimise. Once the algorithm converges, why does it assign the upper bound value to the first parameter, while assigning the lower bounds to the second and third?In an optimisation problem I have 4 parameters to optimise. Once the algorithm converges, why does it assign the upper bound value to the first parameter, while assigning the lower bounds to the second and third? In an optimisation problem I have 4 parameters to optimise. Once the algorithm converges, why does it assign the upper bound value to the first parameter, while assigning the lower bounds to the second and third? least square regression, lsqnonlin, curve fitting, optimization MATLAB Answers — New Questions
