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Series Truncation

  • Michael GrabeEmail author
Chapter

Abstract

Considering functional relationships being non-linear in the unknown parameters asks for a deviant strategy [7]. To proceed via series truncation, we firstly suppose the relationships to behave adequately smooth with respect to the unknown parameters and secondly the magnitudes of the measuring errors to remain sufficiently small.

Keywords

Unknown Parameter Orthogonal Projection Data Pair Solution Vector True Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.BraunschweigGermany

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