Inversion of a linear model: the case of finite-dimensional estimation
Inverse methods and parameter estimation. Part 1

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Inversion of a linear model: the case of finite-dimensional estimation


Inverse methods and parameter estimation. Part 1

Authors : Daniel PETIT, Denis MAILLET

Publication date: January 10, 2008, Review date: October 21, 2019 | Lire en français

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3. Inversion of a linear model: the case of finite-dimensional estimation

3.1 Solving the ordinary least squares problem

When there are n measurements stored in a vector y, subject to measurement error ε and the model is linear, we can write vectorially :

y=ymo(x*)+ε=S
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