This is the repository of course materials for the 18.335J/6.7310J course at MIT, taught by Dr. Shi Chen, in Spring 2025. Topics: Advanced introduction to numerical linear algebra and related ...
Welcome to the "Numerical Methods Tutorial with Python" repository, along with additional projects related to various domains. This repository is a valuable resource for learning and applying ...
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Compute displacement using real velocity data with numerical methods
Learn how to compute displacement using real velocity data with practical numerical methods in this comprehensive tutorial. Discover step-by-step techniques for integrating velocity measurements to ...
Optical systems employ a rich array of physical effects which are described by well-understood equations. However, for all but the simplest devices these equations are typically too complex to permit ...
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Python physics lesson 18: Learning numerical integration
Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...
The registration is now closed. The Autumn School on Scientific Machine Learning and Numerical Methods aims to equip PhD students, postdocs, and early-career researchers with foundational and advanced ...
Parabolic partial differential equations (PDEs) are fundamental in modelling a wide range of diffusion processes in physics, finance and engineering. The numerical approximation of these equations ...
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