The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

This repository provides essential numerical algorithms for solving mathematical problems. Covering linear equations, differential equations and more, it's a valuable resource for students and ...

Solving fractional differential can be more challenging than solving traditional differential equations, and various numerical and analytical method [1 – 5] have been developed for this purpose. An ...

Students using this book will actually see and write programs (FORTRAN or MATLAB) for solving ordinary and partial differential equations, using both finite differences and finite elements.

The aim of using this software is to solve differential equations individually and as a system of equation in parallel with analytical mathematics trends.