Abstract. The need to determine pseudoperipheral vertices arises from several graph-theoretical approaches for ordering sparse matrix equations. The results of two algorithms for finding such vertices
We develop a new estimator of the inverse covariance matrix for high-dimensional multivariate normal data using the horseshoe prior. The proposed graphical horseshoe estimator has attractive proper
This data includes all the input data for the test instances used in the experiments together with the detailed numerical results. The input data consists of four sets of 122 benchmarks including DIMA
This contains the matrices for the SpGEMM tests presented in "Optimizing Sparse Matrix-Matrix Multiplication for the GPU", by Steven Dalton, Nathan Bell, and Luke N. Olson. Each A matrix from Table 3