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An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity field. It is called an inverse problem because it starts…
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inverse problem displaystyle solution data problems model parameters function operator linear equation also one forward physical system matrix approach equations
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the inverse problem in the 1D wave equation | instance of | some authors have investigated the possibility of applying their approach to similar problems | 0.80 | text |
| the L 2 | instance of | the operator defined above is compact on reasonable Banach spaces | 0.80 | text |
| iterative Sparse Asymptotic Minimum Variance.Diffraction tomographyDiffraction tomography is a classical linear inverse problem in exploration seismology | instance of | iterative reconstruction methods | 0.80 | text |
| iterative Sparse Asymptotic Minimum Variance | instance of | iterative reconstruction methods | 0.80 | text |
| sampling of the posterior density function | instance of | use of global optimization techniques | 0.80 | text |
| Metropolis algorithm in the inverse problem probabilistic framework | instance of | use of global optimization techniques | 0.80 | text |
| genetic algorithms | instance of | use of global optimization techniques | 0.80 | text |
| Inverse problem | has application | Inverse | 0.60 | section |
| Inverse problem | has application | Another | 0.60 | section |
| Inverse problem | has application | The | 0.60 | section |
| Inverse problem | has application | DOA | 0.60 | section |
| Inverse problem | related to Academic journals | Four | 0.60 | section |
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