Inversion Algorithms

Inversion algorithms are methods used to determine the underlying causes or properties from observed data. For example, given measurements like seismic waves or medical imaging signals, these algorithms work backwards to infer the internal structure or composition that produced them. They involve mathematical techniques to reverse the forward process—transforming data into meaningful information—often solving complex equations iteratively. In essence, inversion algorithms help us see beneath the surface by interpreting surface measurements, enabling insights into areas that are otherwise hidden or inaccessible.