Least Squares Methods for Differential Equation based Models and Massive Data Sets

نویسنده

  • Josef Kallrath
چکیده

Least squares problems and solution techniques to solve them have a long history briefly addressed by Björck (2001, [4]). In this article we focus on two classes of complex least squares problems. The first one is established by models involving differential equations. The other class is made by least squares problems involving difficult models which need to be solved for many independent observational data sets. We call this least squares problems with massive data sets.

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تاریخ انتشار 2007