Whether you’re solving geometry problems, handling scientific computations, or processing data arrays, calculating square roots in Python is a fundamental task. Python offers multiple approaches for ...

Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...

Sparse tensor operations are increasingly important in diverse applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle in sparse tensor ...

As part of my Master's dissertation I am planning to undertake a project in the area of batched and hardware-accelerated algorithms in Python. This would make up a third of my grade for the year, ...

This project focuses on lossless compression techniques optimizing space, time, and energy for multiplications between binary (or ternary) matrix formats and real-valued vectors.

Hefei National Laboratory for Physical Sciences at the Microscale, Department of Chemical Physics, and Synergetic Innovation Center of Quantum Information and Quantum Physics, University of Science ...