Geometry of nonlinear least squares with applications to sloppy models and optimization
نویسندگان
چکیده
منابع مشابه
Geometry of nonlinear least squares with applications to sloppy models and optimization.
Parameter estimation by nonlinear least-squares minimization is a common problem that has an elegant geometric interpretation: the possible parameter values of a model induce a manifold within the space of data predictions. The minimization problem is then to find the point on the manifold closest to the experimental data. We show that the model manifolds of a large class of models, known as sl...
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ژورنال
عنوان ژورنال: Physical Review E
سال: 2011
ISSN: 1539-3755,1550-2376
DOI: 10.1103/physreve.83.036701