PA=LU Factorization Visualizer

This module consolidates all materials related to the first midterm, which assesses your understanding of numerical linear algebra. It includes a practice exam and solutions covering direct and iterative methods for sol… PA=LU Factorization Visualizer turns that idea into something you can manipulate directly and watch respond.

This module consolidates all materials related to the first midterm, which assesses your understanding of numerical linear algebra. It includes a practice exam and solutions covering direct and iterative methods for sol… It focuses on Solving Linear Systems (Ax=b), LU Factorization with Pivoting, Iterative Methods (Jacobi, Gauss-Seidel), Matrix Conditioning, Least Squares Solutions, Computational Cost Analysis from the “Midterm 1: Review and Assessment” section.

The “Reset”, “Previous Step”, “Next Step” buttons 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.

CS323 provides a comprehensive introduction to numerical algorithms, focusing on practical implementation and real-world applications. The course begins with the fundamentals of computational error and floating-point ar… This demo is the interactive piece for the “Midterm 1: Review and Assessment” section. Open the full CS323: Numerical Analysis and Computing course wiki at https://www.getlykke.com/explore/public/cs323-numerical-analysis-and-computing-7146330a-2792-4961-9bd5-0e42fb092c87 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Solving Linear Systems (Ax=b), LU Factorization with Pivoting, Iterative Methods (Jacobi, Gauss-Seidel), Matrix Conditioning, Least Squares Solutions, Computational Cost Analysis — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on CS323: Numerical Analysis and Computing alone.