This MATLAB code, which pertains to the Adaptive Multi-step Levenberg-Marquardt (AMLM) algorithm, can be utilized for the nonlinear parameter fitting of discrete data. The input data is particularly r
This MATLAB code, which pertains to the Adaptive Multi-step Levenberg-Marquardt (AMLM) algorithm, can be utilized for the nonlinear parameter fitting of discrete data. The input data is particularly r
(a) Variables. (b) Flows. (c) Stocks. (d) Equations. Variables in bold italics were fit to data. Best value is one solution of many. Range shows values that can be fit to data with less than a specifi
c: Maximum CD8+ T cells recruitment rate; c4: Maximum CD4+ T cell production rate; d: Maximum lysis rate by activated T cells; λ: dependence of lysis rate on the effector/target ratio constant. [95% C
