About
Homepage: https://angms.science/
Research
Research groups
Member of:
Research interests
- Mathematical programming / optimisation algorithm
- Nonnegative Matrix/Tensor factorisation
- Machine Learning
- Computational mathematics in general
Publications
27 publications
Page 1 of 3
Laura Selicato, Flavia Esposito & Andersen Ang,
2025
Type: other
Flavia Esposito & Andersen Ang,
2025, Journal of Global Optimization, 93(1)
Type: article
Yixuan Li, Andersen Ang & Sebastian Stein,
2025
Type: other
Xiaoqing Huang, Andersen Ang, Kun Huang, Jie Zhang & Yijie Wang,
2025, IEEE Transactions on Signal and Information Processing over Networks, 11, 353-365
Type: article
Xiaoqing Huang, Andersen Ang, Kun Huang, Jie Zhang & Yijie Wang,
2025, IEEE Transactions on Signal and Information Processing over Networks, 11
Type: article
Laura Selicato, Flavia Esposito, Andersen Ang, Nicoletta Del Buono & Rafal Zdunek,
2025
Type: other
Andersen Ang, Hans De Sterck & Stephen Vavasis,
2024, SIAM Journal on Optimization, 34(3), 2788-2820
DOI: 10.1137/23M1552140
Type: article
Andersen Ang, Waqas Bin Hamed & Hans De Sterck,
2024
Type: other
Xiaoqing Huang, Andersen Ang, Kun Huang, Jie Zhang & Yijie Wang,
2024
Type: other
Flavia Esposito & Andersen Ang,
2024
Type: other
External roles and responsibilities
Name:
MGProx: A nonsmooth MultiGrid Proximal gradient method, and +
Role:
Speaker
Year:
2023
Name:
Nonnegative Matrix Factorization in Wasserstein distances for source separation
Role:
Speaker
Year:
2023
Name:
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
Role:
Speaker
Year:
2023
Name:
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
Role:
Speaker
Year:
2024
Name:
Some topics about NNNNNNNN… optimization
Role:
Speaker
Year:
2024
Name:
Nonnegative Matrix Factorization in non-standard settings, for fun
Role:
Speaker
Year:
2024
Name:
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
Role:
Speaker
Year:
2025