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  • © 2007

The Method of Approximate Inverse: Theory and Applications

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Part of the book series: Lecture Notes in Mathematics (LNM, volume 1906)

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Table of contents (19 chapters)

  1. Front Matter

    Pages I-XIII
  2. Inverse and Semi-discrete Problems

    1. Front Matter

      Pages 1-4
    2. Approximate inverse in L 2-spaces

      • Thomas Schuster
      Pages 11-24
    3. Approximate inverse in Hilbert spaces

      • Thomas Schuster
      Pages 25-38
    4. Approximate inverse in distribution spaces

      • Thomas Schuster
      Pages 39-47
    5. Conclusion and perspectives

      • Thomas Schuster
      Pages 49-49
  3. Application to 3D Doppler Tomography

    1. Front Matter

      Pages 51-54
    2. A semi-discrete setup for Doppler tomography

      • Thomas Schuster
      Pages 55-61
    3. Solving the semi-discrete problem

      • Thomas Schuster
      Pages 63-79
    4. Convergence and stability

      • Thomas Schuster
      Pages 81-87
    5. Approaches for defect correction

      • Thomas Schuster
      Pages 89-103
    6. Conclusion and perspectives

      • Thomas Schuster
      Pages 105-106
  4. Application to the spherical mean operator

    1. Front Matter

      Pages 107-110
    2. The spherical mean operator

      • Thomas Schuster
      Pages 111-121
    3. Design of a mollifier

      • Thomas Schuster
      Pages 123-131
    4. Computation of reconstruction kernels

      • Thomas Schuster
      Pages 133-137
    5. Numerical experiments

      • Thomas Schuster
      Pages 139-144
    6. Conclusion and perspectives

      • Thomas Schuster
      Pages 145-145
  5. Further Applications

    1. Front Matter

      Pages 147-149

About this book

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.

Reviews

From the reviews:

"The powerful method of the approximate inverse is a good bunch of regularization techniques, and this monograph presents a comprehensive outline of this method. Application to 3D Doppler tomography and the spherical mean operator is then studied in details, and further results on X-ray diffractometry, thermoacoustic computerized tomography and reconstruction kernels in 3D are attached. The book is naturally recommended for computer tomographers and graduate students heading toward computer tomography, but it contains many beneficial results for researchers of Radon transforms too." (Árpád Kurusa, Acta Scientiarum Mathematicarum, Vol. 74, 2008)

“The book under review which deals with a particular class of regularization methods, the so called method of approximate inverse, is the result of continuous study of the author for more than a decade, by himself for his habilitation thesis and also in collaborations with many experts in the field, including A. K. Louis (his own teacher), A. Rieder and many others. … No doubt, the book is a good addition to the literature on regularization of ill-posed inverse problems.” (M. Thamban Nair, Zentralblatt MATH, Vol. 1171, 2009)

Authors and Affiliations

  • Department of Mechanical Engineering, Helmut Schmidt University, Hamburg, Germany

    Thomas Schuster

About the author

1990 – 1995 Study of Mathematics at Saarland University Saarbrücken (Germany)

1996 – 2004 Scientific assistant at Saarland University Saarbrücken (Germany)

1999 PhD at Saarland University Saarbrücken (Germany)

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

2004 Habilitation at Saarland University Saarbrücken (Germany)

2004 – 2006 Assistant Professor at Saarland University Saarbrücken (Germany)

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

Bibliographic Information

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access