Fundamentals of matrix computations

TL;DR: In this article, the authors investigate how outliers from an unintended and unknowingly included subpopulation affected the decisions about the number of factors to retain using four commonly used methods separately.

TL;DR: A new simplified MMSE channel estimator for OFDM systems in multipath fading channels is presented, primarily based on the rank-reduction of the channel correlation matrix in the frequency domain.

TL;DR: This work proposes to use a novel, fast and scalable k-Nearest Neighbor (kNN) graph-based approach, and demonstrates its applications in two popular data analysis methods: clustering and centrality analysis.

TL;DR: A dynamical model is set up to identify and quantify plausible mechanisms by which the evolutions of the various exports affect each other, pursued through a stochastic differential description, which warrants a close-to-maximum growth rate under the transient conditions realized in the period covered by data.