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

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

Authors : Daniel PETIT, Denis MAILLET

Review date: October 21, 2019 | Lire en français

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

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 = y_{mo} (x *) + ε = S

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