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Inverse Problems Lecture 7/2017: computational model for 2D tomography 1/5
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Teaching my course "Inverse Problems" at University of Helsinki.
The lecture was given at February 8, 2017.
Explanation of the three crucial concepts in a practical inverse problem:
(1) the measurement vector coming from a device,
(2) "continuum model" for the physical quantity of interest,
(3) "computational model" approximating the unknown and the measurement process
The lecture was given at February 8, 2017.
Explanation of the three crucial concepts in a practical inverse problem:
(1) the measurement vector coming from a device,
(2) "continuum model" for the physical quantity of interest,
(3) "computational model" approximating the unknown and the measurement process
Inverse Problems Lecture 7/2017: computational model for 2D tomography 1/4
Inverse Problems Lecture 7/2017: computational model for 2D tomography 2/4
Inverse Problems Lecture 7/2017: computational model for 2D tomography 3/4
Inverse Problems Lecture 7/2017: computational model for 2D tomography 2/5
Inverse Problems Lecture 7/2017: computational model for 2D tomography 4/4
Inverse Problems Lecture 7/2017: computational model for 2D tomography 3/5
Inverse Problems Lecture 7/2017: computational model for 2D tomography 4/5
Inverse Problems Lecture 7/2017: computational model for 2D tomography 5/5
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