Abstract: The problem of approximate joint diagonalization of a set of matrices is instrumental in numerous statistical signal processing applications. For nonorthogonal joint diagonalization based on ...

The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation ...

Abstract: Joint diagonalization algorithm is extended for a time-varying mixing matrix. A new method termed ¿differential joint diagonalization (DJD)¿ is introduced to calculate the time-difference of ...

A package to simplify working with symmetry-adapted quantum many-body bases. Provides a good foundation for writing custom exact diagonalization and variational Monte Carlo software ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

To make the results reasonable, existing joint diagonalization algorithms have imposed a variety of constraints on diagonalizers. Actually, those constraints can be imposed uniformly by minimizing the ...

kitaev_clusters: Python package for Exact Diagonalization of the Kitaev honeycomb model. Efficient construction and diagonalization of extremely large sparse matrix Hamiltonians.