Inverses and Newton's Method in Computational Thinking - Lecture 5

Inverses and Newton's Method in Computational Thinking - Lecture 5

Explore inverses and Newton's method in this 58-minute lecture from MIT's Computational Thinking Spring 2021 series. Delve into non-linear maps, linear transformations, and matrix multiplication. Learn how to transform images using Julia programming language, including linking image coordinates to spatial coordinates. Discover inverse functions and their applications in both linear and non-linear transformations. Gain insights into Newton's method in 1D and 2D, with interactive visualizations using Plots.jl. Understand the implementation of Newton's method in Julia, including the use of Symbolics.jl and ForwardDiff. Engage with practical examples, such as transforming a Corgi image and exploring collisions. Join the Discord community for live and post-lecture discussions, and access additional resources on the class webpage and Julia Programming Language's Twitter.