@inbook{402a87b2cf734d9a93f68a9b67ddcb32,
title = "Logarithmic growth in biological processes",
abstract = "The aim of our paper is to approximate the parameters of a generic logarithmic function that can be used to model various biological processes. We are considering the Gauss-Newton algorithm for solving the non-linear least squares problem and we are proposing a method for selecting the initial choice for the algorithm. This method proves to considerably increase the convergence probability of the Gauss-Newton algorithm applied for our function compared to its convergence probability when choosing a purely heuristic initial approximation.",
keywords = "Approximation, Least squares, Logarithmic growth",
author = "M. Paltanea and S. Tabirca and E. Scheiber and M. Tangney",
year = "2010",
doi = "10.1109/UKSIM.2010.29",
language = "English",
isbn = "9780769540160",
series = "UKSim2010 - UKSim 12th International Conference on Computer Modelling and Simulation",
pages = "116--121",
booktitle = "UKSim2010 - UKSim 12th International Conference on Computer Modelling and Simulation",
note = "12th UKSim International Conference on Modelling and Simulation, UKSim 2010 ; Conference date: 24-03-2010 Through 26-03-2010",
}