Advances in applied numerical linear algebra and its applications #

Organisers: Malena Sabaté Landman and Ander Biguri

Minisymposium abstract

Many applications in scientific computing and engineering involve solving large-scale linear systems and usually rely in readily-available numerical linear algebra tools. However, modern applications might involve more complex and specific needs (e.g. the use of particular matrix structures or the need for specific regularization), making the optimization problems more challenging and calling for new algorithm developments.

This minisymposium focuses both on recent algorithmic advances for solving large-scale linear systems as well as real-life applications, in an attempt to bringing together different perspectives and providing a space to exchange ideas and highlight new challenges in the areas of iterative methods, regularization and machine learning.

Flexible and inexact Krylov methods for inverse problems #

Malena Sabaté Landman

10:30 Tuesday in 2Q48.

Applied Krylov subspace algorithms in CT using the TIGRE toolbox #

Ander Biguri, Malena Sabate Landman, Sepideh Hatamikia, Richard Boardman, John Aston, Carola-Bibiane Schonlieb

11:10 Tuesday in 2Q48.

Structure-Exploiting Preconditioners for Data Assimilation #

Jemima Tabeart, John W Pearson, Selime Gürol, Anthony Weaver

11:30 Tuesday in 2Q48.

Model Based Iterative Reconstruction of Tomographic data with the Core Imaging Library #

Edoardo Pasca, Evelina Ametova, Gemma Fardell, Jakob Sauer Jørgensen, Laura Murgatroyd, Evangelos Papoutsellis

11:50 Tuesday in 2Q48.

Data-Driven Mirror Descent with Input-Convex Neural Networks #

Subhadip Mukherjee, Hong Ye Tan, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb

12:10 Tuesday in 2Q48.