I know that symmetry photography can be divisive, but it's one of the first things that my eye looks for as a compositional tool. And this obviously goes against the first photographic rule that most ...

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Hi, can ELPA only get half of the symmetric matrix and compute the eigenvalue and eigenvector? Just like ScaLAPACK pdsyevd? There is a symmetric matrix that will be ...

This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...

A network is an efficient tool to organize complicated data. The Laplacian graph has attracted more and more attention for its good properties and has been applied to many tasks including clustering, ...

Abstract: Matrix diagonalization (or termed, matrix eigen-decomposition) is a vital part of matrix theory. Different from static matrix diagonalization problem, in this paper, the more challenging ...