Abstract: A novel, general-purpose recursive linearization (RL) methodology for the analysis of small-signal stability that combines the use of chain rule-based techniques with perturbation theory is ...

Diffusion Transformers (DiT) have become a leading architecture in image generation. However, the quadratic complexity of attention mechanisms, which are responsible for modeling token-wise ...

This repository contains the problem instances and source code used in the article Recursive McCormick Linearization of Multilinear Programs, authored by David Bergman, Carlos Cardonha, Arvind U.

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Roland DG has launched a new UV flatbed printer and the latest iteration of its VersaWorks RIP software. The VersaObject MO-180 UV flatbed printer features two newly developed large printheads in a ...

Newly updated Roland DG VersaWorks 7 RIP now available for macOS as well as Windows OS. Completely redesigned Roland DG Connect Platform includes new user interface and additional features and ...

State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China Engineering Research Center of Functional Materials ...

The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally ...

The data show that a separation between circular and linear plasmid DNA is possible and the performed linearization can be monitored using SEC-HPLC. Join the global community of analytical scientists ...

Accurately modeling nonlinear dynamical systems using observable data remains a significant challenge across various fields such as fluid dynamics, climate science, and mechanical engineering.

1 Department of Mathematics and Physics, University of Wisconsin-Parkside, Kenosha, WI, USA. 2 Department of Chemistry, University of Wisconsin-Parkside, Kenosha, WI, USA. We show that an ...

The wearable sensor market is growing at an annual compound rate of 17.8%. However, sensors have challenges, particularly in terms of miniaturization and power consumption. Several key parameters are ...