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Inverse Problems Lecture 15/2017: real-data x-ray tomography 2/2
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Samuli Siltanen teaching the course "Inverse Problems" at the University of Helsinki.
The lecture was given on March 22, 2017.
The lecture was given on March 22, 2017.
Inverse Problems Lecture 15/2017: real-data x-ray tomography 1/2
Inverse Problems Lecture 15/2017: real-data x-ray tomography 2/2
Inverse Problems Lecture 9/2017: photographic data 1/4
Inverse Problems Lecture 9/2017: photographic data 2/4
Inverse Problems Lecture 3/2017: deconvolution with truncated SVD, part 1/2
Inverse Problems Lecture 9/2017: photographic data 4/4
Inverse Problems Lecture 9/2017: photographic data 3/4
Inverse Problems Lecture 7/2017: computational model for 2D tomography 3/4
Inverse Problems Lecture 13/2017: wavelets 1/2
What is an inverse problem?
Inverse Problems Lecture 8/2017: least squares solution 2/4
Inverse Problems Lecture 7/2017: computational model for 2D tomography 2/4
Inverse Problems Lecture 11/2017: tomography 1/2
Inverse Problems Lecture 13/2017: wavelets 2/2
Inverse Problems Lecture 3/2017: deconvolution with truncated SVD, part 2/2
Inverse Problems Lecture 6/2017: building a matrix model for tomography
Inverse Problems Lecture 7/2017: computational model for 2D tomography 1/5
Inverse Problems Lecture 7/2017: computational model for 2D tomography 4/4
Inverse Problems Lecture 8/2017: least squares solution 3/4
Inverse Problems Lecture 11/2017: tomography 2/2
Inverse Problems Lecture 4/2017: building a 'continuum' convolution model, part 1/2
Inverse Problems Lecture 4/2017: building a 'continuum' convolution model, part 2/2
Nuutti Hyvönen: 'Inverse problems'
Inverse Problems Lecture 7/2017: computational model for 2D tomography 5/5
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