Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.

The two volumes contain 65 chapters, which are based on talks presented by reputable researchers in the field at the Tenth International Conference on Integral

While the prediction of observations is a forward problem, the use of actual observations to infer the properties of a model is an inverse problem. Inverse prob