The Method of Least Squares

The Method of Least Squares

Bernd Jaeger (Ernst-Moritz-Arndt-University, Germany)
DOI: 10.4018/978-1-59140-982-3.ch023
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Abstract

The method of least squares is a geometric principle of curve fitting. The unknown parameters of a function are calculated in such a way that the sum of squared differences between function values and measurements gets minimal. Examples are given for a linear and a nonlinear curve fitting problem. Consequences of model linearizations are explained.

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