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Personal profile

Willing to supervise PhD

Efficient solvers for large-scale inverse problems

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  • 3 Similar Profiles
Arnoldi Mathematics
Ill-posed Problem Mathematics
Tikhonov Regularization Mathematics
Discrepancy Principle Mathematics
Regularization Parameter Mathematics
Krylov Subspace Mathematics
Numerical Experiment Mathematics
Iterative methods Engineering & Materials Science

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Projects 2017 2021

"One Day on Compressive Sensing"

Gazzola, S.

Project: Research-related fundingScientific event

"One Day on Compressive Sensing"

Gazzola, S.

Project: Research-related fundingScientific event

Regularisation by Randomisation

Gazzola, S.

2/06/1728/08/17

Project: UK charity

One Day on Compressive Sensing

Gazzola, S.

1/03/171/09/17

Project: UK charity

Research Output 2011 2019

Arnoldi decomposition, GMRES, and preconditioning for large-scale linear discrete ill-posed problems

Gazzola, S., Noschese, S., Novati, P. & Reichel, L., 27 Feb 2019, (Accepted/In press) In : Applied Numerical Mathematics.

Research output: Contribution to journalArticle

File
2 Citations (Scopus)

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems

Gazzola, S., Hansen, P. C. & Nagy, J. G., 3 Aug 2018, In : Numerical Algorithms. p. 1-39 39 p.

Research output: Contribution to journalArticle

Convex optimisation for partial volume estimation in compressive quantitative MRI

Duarte, R., Chen, Z., Gazzola, S., Marshall, I., Davies, M. & Wiaux, Y., 28 Apr 2017, (Accepted/In press).

Research output: Contribution to conferenceAbstract

1 Citations (Scopus)

Fast nonnegative least squares through flexible Krylov subspaces

Gazzola, S. & Wiaux, Y., 27 Apr 2017, In : SIAM Journal on Scientific Computing. 39, 2, p. A655–A679 25 p.

Research output: Contribution to journalArticle

Open Access
File
Krylov Subspace
Least Squares
Non-negative
Least Squares Problem
Iterative methods
4 Citations (Scopus)

A new framework for multi-parameter regularization

Gazzola, S. & Reichel, L., 1 Sep 2016, In : BIT Numerical Mathematics. 56, 3, p. 919-949 31 p.

Research output: Contribution to journalArticle

Krylov Subspace
Regularization Parameter
Iterative methods
Regularization
Discrepancy Principle