An effective approach to solving sparse regularization problems is the iterative re-weighting least squares (IRLSs) algorithm. However, IRLS is computationally intensive and may not be suitable for ...

Sparse matrix operations are critical kernels in multiple application domains such as High Performance Computing, artificial intelligence and big data. Vector processing is widely used to improve ...

This increase in Tg can be attributed to hydrogen bonding interactions between water molecules and the functional groups in the polymer matrix. The formation of hydrogen bonds alters the molecular ...

The Matrix is one of those movies that has become timeless. It seems like Warner Bros. is always rereleasing the film in premium formats, from IMAX to Dolby Cinema and even 4DX. The newest way to ...

Learn how to create a risk assessment matrix in Excel with this step-by-step guide. Automate, visualize, and simplify risk management with a ...

From the 1999 original to the underrated 2021 legacy sequel, we've ranked every movie in the Matrix franchise from good to great.

QCMaquis is a quantum chemistry software package for general molecular structure calculations in a matrix product state/matrix product operator formalism of the density matrix renormalization group ...