Project Details
Description
The need to extract underlying information from datasets pervades the full range of science and engineering fields and is becoming of greater importance in areas such as economics. This project will result in ground breaking new computational and mathematical techniques for extracting information from geophysical data sets which only indirectly constrain quantities of interest. Our unique approach is to exploit the multi-scale character of nonlinear inverse problems to transform them into a hierarchy of simpler cases. Results will establish new ways of tackling currently intractable inference problems in the geosciences such as seismic waveform inversion for subsurface structure, but also have application across the physical sciences.
Status | Finished |
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Effective start/end date | 1/01/11 → 31/12/15 |
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