The relative power matrix gives organizers a more sophisticated way to think about shifting the balance of power in their ...

Generalized index modulation (GIM) which implicitly conveys information by the activated indices is a promising technique for next-generation wireless networks. Due to the prohibitive challenge of bit ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

We introduce a state-interaction approach for computing g-matrices within time-dependent density functional theory (TDDFT) and the Tamm–Dancoff approximation (TDA), applied here for the first time.

A position-dependent mass matrix in molecular dynamics (MD) was introduced by Bennet (1) and further examined by Tsuchida. (2) The resulting method is called mass tensor molecular dynamics (MTMD), ...

machine-learning deep-learning statistical-mechanics computational-physics graph-theory computational-geometry algebraic-topology complex-networks persistent-homology computational-topology ...

Implemented GTUQuickSort and GTUInsertSort (plus optional GTUSelectSort) extending GTUSorter. Developed Graph class with adjacency matrix supporting add/remove vertex/edge and degree/neighbors. App ...