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math.NA2026
NEPv Approach for Optimization on Stiefel Manifold with the -norm Regularization
Ren-Cang Li, Li Wang, Lei-Hong Zhang +1
Row-sparse projection provides a useful tool in machine learning (ML) when it comes to, for example, feature selection, aiming to choose most relevant features for various ML objec…
math.NA2026
A Sharp Unitarily Invariant Norm Bound for the Off-Diagonal Block Perturbation of a Hermitian Matrix
Lei-Hong Zhang, Ren-Cang Li
Let be partitioned Hermitian matrices,…
math.NA2026
An NPDo Approach for Principal Joint Block Diagonalization
Ren-Cang Li, Ding Lu, Li Wang +1
Matrix joint block-diagonalization (JBD) frequently arises from diverse applications such as independent component analysis, blind source separation, and common principal component…