In this paper we consider discrete inverse problems for which noise becomes negligible compared to data with increasing model norm. We introduce two novel definitions of regularization for ...
https://doi.org/10.15609/annaeconstat2009.128.0203 • https://www.jstor.org/stable/10.15609/annaeconstat2009.128.0203 We propose a new method for constructing ...
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AI techniques excel at solving complex equations in physics, especially inverse problems
Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
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