Introduction to large-scale inverse problems in imaging and recent developments in Krylov subspace methods

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• Malena Sabate Landman (University of Cambridge)
• Tuesday 01 November 2022, 14:00-15:00
• Arts Lecture Room 1, Zoom:https://bham-ac-uk.zoom.us/j/82604446421?pwd=U2dTUHZJY0RCaUxSRGVZczJ1UGNyUT09.

If you have a question about this talk, please contact Sergey Sergeev.

Inverse problems involve the reconstruction of hidden objects from possibly noisy indirect measurements and are ubiquitous in a variety of scientific and engineering applications. This kind of problems have two main features that make them interesting yet challenging to solve. First, they tend to be ill-posed: the reconstruction is very sensitive to perturbations in the measurements. Second, real-world applications are often large-scale: resulting in computationally demanding tasks. In this talk I will focus on discrete linear problems: giving a general overview of the well-established class of solvers called Krylov subspace methods and its regularizing properties; as well as recent developments that make them suitable to solve more challenging optimization tasks. I will show results and examples in different imaging applications.

This talk is part of the Optimisation and Numerical Analysis Seminars series.

This talk is included in these lists:

• Arts Lecture Room 1, Zoom:https://bham-ac-uk.zoom.us/j/82604446421?pwd=U2dTUHZJY0RCaUxSRGVZczJ1UGNyUT09
• Optimisation and Numerical Analysis Seminars
• School of Mathematics Events

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