Membrane diffraction imaging is one of the most widely used imaging technologies today, which offers the advantages such as lightweight design, large aperture, foldability, and low cost. However, the ...
Abstract: The advancement of technology nodes has intensified the focus on mixed-cell-height circuit design, posing challenges to traditional legalization techniques. In this paper, we propose a novel ...
Matrix splitting iteration methods have emerged as potent tools in addressing complementarity problems, which frequently arise in optimisation, economics and engineering applications. These methods ...
Abstract: The simultaneous policy update algorithm (SPUA) has been extensively studied for linear zero-sum games due to its efficient single-loop iteration. However, selecting an appropriate initial ...
Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...
Is your feature request related to a problem? Please describe. I am currently investigating the numerical evaluation of matrix functions and I noticed that SciPy only ...
Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...
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