Interval Arithmetic Based Optimization in Nonlinear Regression

The optimization problems occurring in nonlinear regression normally cannot be proven unimodal. In the present paper applicability of global optimization algorithms to this problem is investigated with the focus on interval arithmetic based algorithms.

• Type: Journal
• Year: 2010
• Where: INFORMATICALT
• Authors: Antanas Zilinskas, Julius Zilinskas
• Keywords: Arithmetic Based Algorithms, INFORMATICALT 2010, Nonlinear Regression, Present Paper Applicability