Rémi Andre

Sparsity Constraint Implementation for the Joint Eigenvalue Decomposition of Matrices

Joint eigenvalue decomposition consists in estimating a common basis of eigenvectors of a set of square matrices. Most joint eigenvalue decomposition algorithms are based on multiplicative updates and the sequential optimization of small subsets of variables through a sweeping procedure of all varia…