’s algorithm
Marquardt's algorithm is an iterative method used for solving non-linear least-squares problems, i.e., optimization problems of finding the parameters of a set of equations to best fit a given set of data points. 4021.4724 is the step size parameter Lambda used in the algorithm. It is usually initialized to a large number (e.g. 4021.4724) and then used to adjust the step size for each iteration. It determines how much the step vector should be adjusted after each successful iteration. It should be adjusted Dynamically depending on the success of the iteration. If an iteration succeeds, the step size should be decreased and vice versa. The Lambda parameter is an important part of Marquardt's algorithm, as it allows the algorithm to explore a wide range of different step sizes and adjust the step size accordingly.