Inverse problems arise whenever one tries to calculate a required quantity from given measurements of a second quantity that is associated to the first one. Besides medical imaging and non-destructive testing, inverse problems also play an increasing role in other disciplines such as industrial and financial mathematics. Hence, there is a need for stable and efficient solvers. The book is concerned with the method of approximate inverse which is a regularization technique for stably solving inverse problems in various settings such as L²-spaces, Hilbert spaces or spaces of distributions. The performance and functionality of the method is demonstrated on several examples from medical imaging and non-destructive testing such as computerized tomography, Doppler tomography, SONAR, X-ray diffractometry and thermoacoustic computerized tomography. The book addresses graduate students and researchers interested in the numerical analysis of inverse problems and regularization techniques or in efficient solvers for the applications mentioned above.

About the Author

1990 – 1995 Study of Mathematics at Saarland University Saarbr�cken (Germany)

1996 – 2004 Scientific assistant at Saarland University Saarbr�cken (Germany)

1999 PhD at Saarland University Saarbr�cken (Germany)

2002 – 2003 Research stay at Tufts University Medford, MA (USA)

2004 Habilitation at Saarland University Saarbr�cken (Germany)

2004 – 2006 Assistant Professor at Saarland University Saarbr�cken (Germany)

2007 – today Associate Professor at the Helmut Schmidt University Hamburg (Germany)

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