Abstract: The computation of the Moore–Penrose generalized inverse is a commonly used operation in various fields such as the training of neural networks based on random weights. Therefore, a fast ...

In this paper, the generalized anti-reflexive solution for matrix equations (BX = C, XD = E), which arise in left and right inverse eigenpairs problem, is considered. With the special properties of ...

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 challenging tasks in numerical ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Michael ends up finding himself trapped on the roof of his school with the Agents closing in on ...

AI models have, within hours, created more efficient wireless chips through deep learning, but it is unclear how their 'randomly shaped' designs were produced. When you purchase through links on our ...

The acceptance sampling plan (ASP) is a statistical tool used in industry for quality control to determine the quality of products by selecting a specified number for testing in order to accept or ...

Abstract: This communication proposes a novel method for electrically large-scale open-ended cavities, using the generalized transition matrix (GTM) model and accelerating it by implementing the ...

The Matrix was a Trojan Horse. What began with Y2K futurism, kung-fu, and “bullet time” later evolved into a brooding treatise on free will. The sequel to the 1999 phenomenon, The Matrix Reloaded, ...

Today, organizations across all industries and geographies are looking at leveraging data and analytics (D&A) to increase revenue, reduce costs and mitigate risks. However, many organizations aren't ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...