Sparsity and Nonnegativity in Least Squares Problems and Matrix Factorizations

Nadisic, Nicolas

Download

Doctoral thesis (Dissertations and theses)

Sparsity and Nonnegativity in Least Squares Problems and Matrix Factorizations

Nadisic, Nicolas

2022

Permalink
https://hdl.handle.net/20.500.12907/49820

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

2022-PhDThesis_NicolasNadisic.pdf

Author postprint (9.33 MB)

Download

All documents in ORBi UMONS are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Disciplines :

Computer science
Mathematics

Author, co-author :

Nadisic, Nicolas ; Université de Mons - UMONS > Recherche > Service ERC Unit - Matrix Theory and Optimization

Language :

English

Title :

Sparsity and Nonnegativity in Least Squares Problems and Matrix Factorizations

Defense date :

21 April 2022

Institution :

UMONS - Université de Mons [Faculté Polytechnique], Mons, Belgium

Degree :

Doctorat en Science de l’ingénieur et technologie

Promotor :

Gillis, Nicolas ; Université de Mons - UMONS > Faculté Polytechnique > Service de Mathématique et Recherche opérationnelle

Vandaele, Arnaud ; Université de Mons - UMONS > Faculté Polytechnique > Service de Mathématique et Recherche opérationnelle

Research unit :

F151 - Mathématique et Recherche opérationnelle

Research institute :

R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique

European Projects :

H2020 - 679515 - COLORAMAP - Constrained Low-Rank Matrix Approximations: Theoretical and Algorithmic Developments for Practitioners

Funders :

European Union

Available on ORBi UMONS :

since 24 October 2024

Statistics

Number of views

39 (5 by UMONS)

Number of downloads

80 (1 by UMONS)

More statistics