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

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 ...

Syllabus: The NTA has put the official JEE Main 2026 Syllabus online on their website: jeemain.nta.nic.in. If you're planning ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania. Design We analysed cross-sectional survey data from the 2022 Tanzania ...

Fuchsian Differential Equations: Differential equations characterised by regular singular points, important in the study of complex analysis and the behaviour of D‑finite functions.

Books Received Published: 11 June 1932 Partial Differential Equations of Mathematical Physics E. T. WHITTAKER Nature 129, 850–851 (1932) Cite this article ...

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

GCSE Edexcel Straight line graphs - Edexcel y = mx + c Graphs show the relationship between two variables and are often seen in newspapers and the media. People who work in professions involving ...

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 ...

Uncertain differential equations are a type of differential equations driven by Liu processes. How to estimate the parameters in an uncertain differential equation based on the observed data is a ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

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 ...