title: A simple non-iterative procedure for fitting of multiexponential functions.
abstract: 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.
authors.affiliation: Max-Planck Institute for Psychiatry, Planegg-Martinsried, Germany.
authors.forename: S L
authors.initials: SL
authors.lastname: Mironov
mesh_terms: D000465:Algorithms; D016018:Least-Squares Analysis; D008433:Mathematics; D012984:Software