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
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
The value of γ0 corresponds to the maximal proliferation rate in optimal conditions of pressure. Values of the parameters resulting from the fit of each metastatic dynamics.
List of values of fitting parameters minimizing the SSR of the log transformed E. coli cell count in the daily profile fitting data set (values shown in Table 2 of the manuscript) in the context of th
(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
