Quantum information theory is a field of study that examines how quantum technologies store and process information. Over the ...

Abstract: In this letter, an advanced version of the hybrid Freeman/eigenvalue decomposition technique for land parameter extraction is presented with an illustrative example of application. The ...

Abstract: The problem of estimating the eigenvalues and eigenvectors of the covariance matrix associated with a multivariate stochastic process is considered. The focus is on finite sample size ...

Positive definite matrices are widely used in machine learning and probabilistic modeling, especially in applications related to graph analysis and Gaussian models. It is not uncommon that positive ...

The Matrix collection depicts a complex science fiction story incorporating many philosophical elements. Written and directed by the Wachowskis and produced by Joel Silver.

ViViT is a collection of numerical tricks to efficiently access curvature from the generalized Gauss-Newton (GGN) matrix based on its low-rank structure. Provided functionality includes computing ...