Detailed Program

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Thursday, 23 October

Room: “Aula Magna” at Dipartimento di Economia - Piazza Scaravilli 2

8:00-8:30

Registration
8:30-8:45

Welcoming remarks
8:45-9:15

Alice Cortinovis

Randomized Schatten Norm Estimation
9:15-9:35

Erkki Somersalo

Dictionary learning methods for brain activity mapping with MEG data
9:35-9:55

Alessandro Alla

Efficient Data-driven Regression for Reduced-order Modeling of Spatial Pattern Formation
9:55-10:15

Gianluca Ceruti

A Retraction Perspective on Low-Rank Dynamics
10:15-10:35

Zhuoyao Zeng

Certified Model Order Reduction for Paramet- ric Hermitian Eigenproblems
10:35 - 11:00

coffee break
11:00-11:20

Daniela Calvetti

Spotlight inversion by orthogonal projections
11:20-11:40

Silvia Gazzola

New flexible and inexact Krylov solvers for inverse problems
11:40-12:00

Elisa Riccietti

Exploiting multiple resolutions to accelerate inverse problems in imaging
12:00-12:20

Andreas Langer

Adaptive Discretization for Total Variation Regularized Inverse Problems
12:20-12:40

Igor Simunec

Compressed Golub-Kahan algorithm for Tikhonov regularization
12:40-14:00

Lunch
14:00-14:30

André Uschmajew

Randomized Low-rank Approximation of Hilbert-Schmidt Operators

Room: “Aula Magna” at Dipartimento di Economia - Piazza Scaravilli 2

Room: “32” at Dipartimento di Economia - Piazza Scaravilli 2

Room: “Aula Magna” at Dipartimento di Economia - Piazza Scaravilli 2

Room: “32” at Dipartimento di Economia - Piazza Scaravilli 2

Room: “Aula Magna” at Dipartimento di Economia - Piazza Scaravilli 2

8:45-9:15

Theo Mary

Multiword and Multimodular Algorithms for Emulating High Accuracy with Low Precision
9:15-9:35

Jens Saak

Towards a large-scale sparse version of MATLAB®’s care method using indefinite factorizations
9:35-9:55

Marcel Schweitzer

Near Instance Optimality of the Lanczos Method for Stieltjes and Related Matrix Functions
9:55-10:15

Xiaobo Liu

Computing matrix φ-functions arising in expo- nential integrators
10:15-10:35

Peter Oehme

A novel Krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions
10:35-11:00

coffee break
11:00-11:20

Erin C. Carson

A comparison of mixed precision iterative refinement approaches for least-squares problems
11:20-11:40

Bowen Gao

Mixed precision iterative refinement for two variants of the least squares and other interested matrix problems
11:40-12:00

Martin Köhler

Low Precision Fortran – Half and Quarter Pre- cision Arithmetic in Fortran without agonizing pain
12:00-12:20

Eda Oktay

Mixed-Precision ADI-FGMRES for Large Lya- punov Equations
12:20-12:40

Thomas Bake

Forward and Backward Error Bounds for a Mixed Precision Preconditioned Conjugate Gradient Method
12:40-14:00

Lunch

Room: “Aula Magna” at Dipartimento di Economia - Piazza Scaravilli 2

Room: “32” at Dipartimento di Economia - Piazza Scaravilli 2