Interval Arithmetic Based Optimization in Nonlinear Regression

Antanas Žilinskas, Julius Žilinskas · Informatica · 2010

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.

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