Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Abstract: With many significant advantages, the phase-sensitive optical time-domain reflectometry (Φ-OTDR) system has become a popular monitoring instrument, especially in geophysical research, such ...

The calculations are done using raw JavaScript and the rendering of the math is done with MathJax (with the math itself written in LaTeX). This is designed to be all ...

Simultaneous linear equations are used to model situations where two relationships must be satisfied at the same time. These problems often involve two interdependent variables, such as comparing ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

IN the two theorems stated by S. I. Tomkeieff in a communication under this title in Nature of January 6, p. 24, the word “by” was printed instead of “to”. The theorems should read as follows: ...

⚗️ Parallel Linear Equations - Parallel computing using OpenMP to solve linear equation systems of the form Ax=b. The algorithm leverages the Gauss elimination method combined with backpropagation.