Tikhonov Regularization Demo

Covers Tikhonov regularization for stability and solving least squares with equality constraints. Tikhonov Regularization Demo turns that idea into something you can manipulate directly and watch respond.

Covers Tikhonov regularization for stability and solving least squares with equality constraints. It focuses on Tikhonov regularization, Trade-off curves, KKT equations, Constrained least squares from the “Regularization and Constrained Least Squares” section.

You can drag elements directly on the canvas; the “Reset Data” button run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

This course provides a practical introduction to linear algebra, focusing on the core concepts of vectors, matrices, and least squares methods. It emphasizes real-world applications such as machine learning, control sys… This demo is the interactive piece for the “Regularization and Constrained Least Squares” section. Open the full Applied Linear Algebra and Least Squares course wiki at https://www.getlykke.com/explore/public/applied-linear-algebra-and-least-squares-f2e383ce-d1e8-4a0a-af8a-f21feb45dad0 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Tikhonov regularization, Trade-off curves, KKT equations, Constrained least squares — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Applied Linear Algebra and Least Squares alone.