Abstract: Like the Joint Diagonalization of a unique set of matrices, Generalized Joint Diagonalization is an algebraic problem encountered in different applications such as data fusion and blind ...

Abstract: We describe an adaptive algorithm based on stochastic approximation theory for the simultaneous diagonalization of the expectations of two random matrix sequences. Although there are several ...

We derive the closed-form one-loop Euler--Heisenberg effective actions for Dirac fermions coupled simultaneously to classical electromagnetic vector and massive pseudo-vector backgrounds within a ...

GPU ready python implementations that scale to multiple GPUs. By distributed calculation huge datasets can be computed in a scalable cloud environment. Available methods are JADE [1] and Phams [2]. [1 ...