IIT JAM Maths Syllabus 2026: The IIT JAM Mathematics (MA) syllabus is a crucial resource for any student aiming to appear for the IIT JAM 2026 examination. The syllabus clearly outlines all the ...

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

Check the ISC Class 12th Maths Syllabus 2025-26 in the table below and get to know about the list of chapters to be studied for the upcoming ISC Board Exams 2025. Matrices: Concept, notation, order, ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. To study ...

This repository provides some basic examples of using deep neural networks and feed-forward and LSTM-like neural networks to solve ordinary differential equations (ODEs), partial differential ...

In the past few years, fractional differential equations have emerged as a strong and well-organized mathematical tool in the study of many occurrences in science and engineering. Research in ...

Abstract: In this paper, we utilize the conformable fractional derivative to define a new type of fractional differential equations, namely, α-homogeneous fractional differential equations with ...

Department of Mathematics, School of Secondary Education Science Programme, Cross River State College of Education, Akamkpa, Nigeria. equations are those which relate one on more functions and their ...

Continuous-time neural networks are one subset of machine learning systems capable of taking on representation learning for spatiotemporal decision-making tasks. Continuous differential equations are ...