Students may have been thrown by new topics on the higher-level applied maths paper but there was also a good mix of the ...

While the world continues to fixate on AI, there are still plenty of high performance computing workloads that need doing and ...

Multipole Graph Neural Operator for Parametric Partial Differential Equations. NeurIPS20. Inspired by the fast multipole method (FMM), we propose a novel hierarchical, and multi-scale graph structure ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables, and therefore have predictive power when it comes to complex physical ...

Partial Differential Equations of Mathematical Physics. By Prof. H. Bateman. Pp. xxii + 522. (Cambridge: At the University Press, 1932.) 42s. net.

PDF for mathematics from the official Punjab Board website. Access chapter-wise details for mathematics with the link to ...

Learn and revise how to plot coordinates and create straight line graphs to show the relationship between two variables with GCSE Bitesize Edexcel Maths.

Dear Editor, This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility. Differential privacy (DP) is emerging as an effective method for ...

Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia. ... Codes and graphs ...

The investigation of these questions is still more important for impulsive differential equations which have a wider field of application than the ordinary ones. The results obtained by treating the ...