A simple non-iterative procedure for fitting of multiexponential functions.

An efficient procedure for finding parameters of multiexponential function from experimental data is described. All time-constants are determined by roots of the corresponding characteristic polynomial and weighting factors are then found from the system of linear equations. Due to the non-iterative character of the fitting procedure it is fast and does not need a guess about the initial values of parameters of multiexponential function. For single- or double-exponential fitting explicit algorithms are given, for which programming is straightforward.