Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry Figure 1: Illustration on the main postulations (A0 to A2) and empirical validations (B0 to ...

Quadrature Rules And Matrix Function Approximations Quadrature rules are mathematical techniques used to approximate the definite integral of a function.

Matrix functions, such as the exponential, square root and cosine, play an indispensable role in various fields including quantum mechanics, control theory and numerical solution of differential ...

We consider estimation of covariance matrices and their inverses (a.k.a. precision matrices) for high-dimensional stationary and locally stationary time series. In the latter case the covariance ...

We observed that mixed biofilms inoculated with mutants containing a disruption in each polysaccharide pathway had restored mature matrix structure, composition, and biofilm drug resistance. Our ...

returns a matrix containing the terms of considered as a matrix of rational functions in B that have been expanded as power series is a scalar containing the value of m above. The default value is 1.

We propose to use the MPI_Allgather function for parallel programming to deal with the sparse matrix multiplication within the compressed sparse row (CSR) format, which can scale up to hundreds of ...

This paper proposes an accelerated method for solving electrically large open-ended cavity problems by combining the generalized transition matrix (GTM) model with the multilevel characteristic basis ...