The field of inverse problems has experienced explosive growth in the last few decades.
This is due in part to the importance of applications, like biomedical and seismic imaging …

Inverse problems deal with the quest for unknown causes of observed consequences,
based on predictive models, known as the forward models, that associate the former …

Inverse problems are concerned with determining causes for observed or desired effects.
Problems of this type appear in many application fields both in science and in engineering …

M. Bertero Dipartimento di Fisica dell'Universita and Istituto Nazionale di Fisica Nucleare 1-
16146 Genova, Italy In the past two decades, the theory and practice of linear inverse …

In the last two decades, the field of inverse problems has certainly been one of the fastest
growing areas in applied mathematics. This growth has largely been driven by the needs of …

Iterative Optimization in Inverse Problems brings together a number of important iterative
algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent …

What mathematicians, scientists, engineers and statisticians mean by'inverse
problem'differs. For a statistician, an inverse problem is an inference or estimation problem …

Ill-posedness. Regularization. Stability. Uniqueness. To many engineers, the language of
inverse analysis projects a mysterious and frightening image, an image made even more …

The subject of inverse problems in differential equations is of enormous practical
importance, and has also generated substantial mathematical and computational …

This book studies methods to concretely address inverse problems. An inverse problem
arises when the causes that produced a given effect must be determined or when one seeks …