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The numerical problem of estimating unknown parameters in systems of ordinary differential equations from complete or incomplete data is treated. A new numerical method for the optimization part, based on the Gauss-Newton method with a trust region approach to subspace minimization for the weighted nonlinear least squares problem, is presented. The method is implemented in the framework of a toolbox (called diffpar) in Matlab and several test problems from applications, giving non-stiff and stiff ODE-systems, are treated
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Edsberg et al. (1995) studied this question.
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