Variational Regularization for Systems of Inverse Problems is popular PDF and ePub book, written by Richard Huber in 2019, it is a fantastic choice for those who relish reading online the Computer science genre. Let's immerse ourselves in this engaging Computer science book by exploring the summary and details provided below. Remember, Variational Regularization for Systems of Inverse Problems can be Read Online from any device for your convenience.
Variational Regularization for Systems of Inverse Problems Book PDF Summary
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientific fields. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their specific structure. Such an approach allows to choose the regularization weights of each subproblem individually with respect to the corresponding noise levels and degrees of ill-posedness. Contents General Tikhonov Regularization Specific Discrepancies Regularization Functionals Application to STEM Tomography Reconstruction Target Groups Researchers and students in the field of mathematics Experts in the areas of mathematics, imaging, computer vision and nanotechnology The Author Richard Huber wrote his master's thesis under the supervision of Prof. Dr. Kristian Bredies at the Institute for Mathematics and Scientific Computing at Graz University, Austria.
Detail Book of Variational Regularization for Systems of Inverse Problems PDF
- Author : Richard Huber
- Release : 20 September 2024
- Publisher : Unknown
- ISBN : 3658253916
- Genre : Computer science
- Total Page : 136 pages
- Language : English
- PDF File Size : 12,9 Mb
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