Within this repo there are 2 simple programs that calculate covariances for a set of inputs on the GPU. Each program calculates these matrices either in the simple, traditional manner, or in an ...

This study investigates the effectiveness of quantum-inspired optimizations in handling high-rank matrix operations, addressing known limitations of traditional algorithms. We present a comparative ...

This is a preview. Log in through your library . Abstract In this paper we consider estimating the rank of an unknown symmetric matrix based on a symmetric, asymptotically normal estimator of the ...

Abstract: Factorizing a low-rank matrix into two matrix factors with low dimensions from its noisy observations is a classical but challenging problem arising from real-world applications. This paper ...

Matrix-covariate is now frequently encountered in many biomedical researches. It is common to fit conventional statistical models by vectorizing matrix-covariate. This strategy results in a large ...