Persistent URL of this record https://hdl.handle.net/1887/3494260
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- Summary in Dutch
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- Curriculum Vitae
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Sparsity-based algorithms for inverse problems
In this thesis we studied various inverse problems that arise in different application areas, such as tomographic imaging and equation learning for biology, and showed how ideas of sparsity can be used in each case to design effective algorithms to solve such problems.Show less
- All authors
- Ganguly, P.S.
- Supervisor
- Batenburg, K.J.; Hupkes, H.J.
- Co-supervisor
- Lucka, F.
- Committee
- Haas, F.A.J. de; Doelman, A.; Schönlieb, C.B.; Dahl, A.B.; Pelt, D.M.
- Qualification
- Doctor (dr.)
- Awarding Institution
- Mathematical Institute (MI) , Faculty of Science , Leiden University
- Date
- 2022-12-08
Funding
- Sponsorship
- Financial support was provided by the European Union's Horizon 2020 Research and Innovation programme under the Marie Sklodowska-Curie grant agreement no.~765604