Žilinskas, Antanas; Žilinskas, Julius Interval arithmetic based optimization in nonlinear regression. (English) Zbl 1205.90227 Informatica, Vilnius 21, No. 1, 149-158 (2010). Summary: The optimization problems occurring in nonlinear regression normally cannot be proven unimodal. In the present paper, the applicability of global optimization algorithms to this problem is investigated with the focus on interval arithmetic based algorithms. Cited in 8 Documents MSC: 90C26 Nonconvex programming, global optimization 62J02 General nonlinear regression Keywords:nonlinear least squares Software:C-XSC; C-XSC 2.0; PROFIL/BIAS PDFBibTeX XMLCite \textit{A. Žilinskas} and \textit{J. Žilinskas}, Informatica, Vilnius 21, No. 1, 149--158 (2010; Zbl 1205.90227) Full Text: Link