Abstract: The solution of sparse symmetric positive definite linear systems is an important computational kernel in large-scale scientific and engineering modeling and simulation. We will solve the ...
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This idea was once thought to lie beyond the reach of scientific inquiry,” said physicist Mir Faizal of the University of ...
The technology that has helped propel the simulation theory may be new, but the questions it explores are ancient.
The belief that we are living in a Matrix-like simulation has has grown traction in recent years, but boffins believe they ...
Abstract: This article investigates the dynamic event-triggered consensus of linear leader-following multiagent systems under matrix-weighted networks. In such networks, matrix weights characterize ...
This project focuses on the development of an efficient and precise ship classification and detection system using Inverse Synthetic Aperture Radar (ISAR) images. The system integrates deep learning, ...