GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
IEEE

Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning

Abstract: Bipartite spectral graph partitioning (BSGP) method as a co-clustering method, has been widely used in document clustering, which simultaneously clusters documents and words by making full ...
YouTube on MSNOpinion

Finally understand completing the square

In this video, we provide essential "math help" by explaining the process of "completing the square" to convert "quadratic ...
YouTube on MSNOpinion

GED math: Solving quadratic equations fast and easily

This video helps students preparing for the ged math test by breaking down the core concepts of quadratic equations. Whether ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...