Ecole polytechnique - MAA106 - Introduction to Numerical Analysis
The aim of this course is to provide students with a working knowledge of basic mathematical algorithms and associated computer programming. We will cover several notions such as representation of numbers, rootfinding, polynomial approximation, numerical integration, and error analysis. A significant portion of the course will be devoted to implementation and experiments using Jupyter Notebooks with Python.
Teaching coordinator: Breden Maxime
Chapter 0 - Introduction to Numpy and Matplotlib
Chapter 1 - Root-finding for a function of one variable
Chapter 2 - Polynomial approximation of functions of one variable
Chapter 3 - Numerical integration
Yubo Cai 蔡宇博
PhD student at MIT CCSE, CEE, and LIDS
Ph.D. student at MIT, jointly affiliated with CCSE, CEE, and LIDS. Research in optimization, system design, and control.