SELMA:
Structured Low-Rank Matrix/Tensor Approximation: Numerical Optimization-Based Algorithms and Applications |
![]()
Financing: Research Foundation - Flanders (FWO) Project reference Nr.: EOS project G0F6718N
Description: Structured low-rank matrix/tensor approximation Higher-order tensors are the natural generaliza- tions of vectors (first order) and matrices (second order). They may be viewed as multi-way arrays of numbers. Key to numerous applications involving matrices and/or tensors is the proper exploitation of structure and in particular low rank. This project aims to make a series of outstanding contributions con- cerning low-rank matrix/tensor approximation based methods, with a strong emphasis on mathemat- ical foundations and numerical properties. Website: https://www.esat.kuleuven.be/stadius/selma/ SMC people involved in the project:
|