In inverse problems, the aim is to obtain, via a mathematical
model, information on quantities that are not directly observable
but rather depend on other observable quantities. Inverse problems
are encountered in such diverse areas of application as medical
imaging, remote sensing, material testing, geosciences and
financing. It has become evident that new ideas coming from
differential geometry and modern analysis are needed to tackle even
some of the most classical inverse problems. This book contains a
collection of presentations, written by leading specialists, aiming
to give the reader up-to-date tools for understanding the current
developments in the field.
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