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At first, he tried to develop the inverse theory of induction (induction as inversed deduction) proposed by Jevons and Sigwart.
This combined inversion algorithm has wide applicability in "real-world" inverse theory, parameter estimation, filtering, etc., where data are noisy and not uniformly reliable.
Inverse theory is a method to infer the unknown physical property (porosity) from measurements (similarity).
We finish by giving some applications in Sturm Liouville inverse theory.
The multi-Gaussian assumption that is widely used in classical probabilistic inverse theory is not appropriate for representing sparse prior models.
Then, based on the generalized inverse theory, the filter design problem is tackled and a set of the desired filters is explicitly characterized.
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This paper also shows how inverse theories can be utilized to rank and update reservoir models.
The multi-input and multi-output positive position feedback controller, which can cope with the first two vibration modes, was designed based on the block-inverse theory and was implemented digitally using the DSP board.
These schemes differ in terms of the constraints that are used to overcome its indeterminacy; for example, inverse decision theory ([37], [26]), inverse game theory ([38]), inverse reinforcement learning ([39] [41]) or inverse optimal control ([42]).
Inverse Problem theory is extracting information from indirect measurements.
The method presented here is based on the inverse perturbation theory.
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