Inverse problems are concerned with determining causes for a desired or an observed effect or calibrating the parameters of a mathematical model to reproduce observations. Inverse problems most often do not fulfill Hadamard's postulates of well-posedness: they might not have a solution in the strict sense, solutions might not be unique and/or might not depend continuously on the data. Hence their mathematical analysis is subtle. However they have many applications in engineering, physics and other fields. Here are some web ressources on Ill posed inverse problems.
Course page on: Inverse Problem in Financial Modeling.
Conference on Ill posed Inverse problems,
(August 5-9 2002) Sobolev Institute of Mathematics, Novosibirsk,
Russia.
Journals and Book Series:
Web sites dedicated to ill posed inverse problems:
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