Abstract: Lower upper (LU) factorization for sparse matrices is the most important computing step for circuit simulation problems. However, parallelizing LU factorization on the graphic processing ...
Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...
Abstract: Nonnegative matrix factorization (NMF), which aims at obtaining the nonnegative low-dimensional representation of data, has received wide attention. To obtain more effective nonnegative ...
tess3r is an R package for estimating and visualizing spatial population structure based on geographically constrained non-negative matrix factorization and population genetics. tess3r has fast and ...
The R package mfair implements the methods based on the paper MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information. MFAI integrates gradient boosted trees in the ...
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