1. Different components of the estimation error and residual analysis
1.1 Estimation error
Whatever the type of inverse problem being addressed, the inverter looks for a parameter vectorx [in the case of parameter estimation, otherwise it may be a function x (t ) at time t], from datay.
It also has a model, i.e. a function η such as corresponding to these data. This function η represents the structure of the model and is assumed to be known in the direct problem.
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Different components of the estimation error and residual analysis
Principles of some measurement inversion methods
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