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Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant a

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

Inverse problems arise in practical applications whenever there is a need to interpret indirect measurements. This book explains how to identify ill-posed inver

Inverse problems need to be solved in order to properly interpret indirect measurements. Often, inverse problems are ill-posed and sensitive to data errors. The

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