Discover efficient block decomposition schemes for generalized reflexive matrices, preserving singular values and enabling large-scale parallelism. Explore their applications in scientific and ...

This is a simple C++ program for computing the eigenvalues and eigenvectors of any square matrix using the LAPACK library. Diagonalization is handled by the "diagonalization" class, which is defined ...

Optimized SVD for Matrix Diagonalization This project shows how the Singular Value Decomposition algorithm can be optimized for matrix diagonalization on an ARM microcontroller. This optimzation is ...

Joint diagonalization of several correlation matrices is a powerful tool for blind signal separation. The paper addresses the blind signal separation problem for the case where the source signals are ...