Jupyter notebooks on concepts from numerical/computational linear algebra. Inspired by Professor Rachel Thomas' class on computational linear algebra.
Image compression using Singular Value Decomposition (SVD) in Python, comparing a 'from scratch' Power Iteration method with NumPy's optimized SVD.
AMATH 352 Final Project (Spring 2023). Calculates voltages at nodes and current along connections in a given electrical circuit.
Exploratory numerical linear algebra and regression notebooks extended into small computational experiments.
A MATLAB project comparing the performance (time, iterations) of from-scratch implementations of direct and iterative methods (Gaussian Elimination, Gauss-Jordan Elimination, LU, Jacobi, Gauss-Seidel, SOR) for solving Ax=b.
Handwritten work & R code related to University of Virginia's MATH 3350 ( Applied Linear Algebra)
🔍 Compare various direct and iterative methods for solving linear equations in MATLAB to analyze performance and efficiency with practical implementations.
Add a description, image, and links to the applied-linear-algebra topic page so that developers can more easily learn about it.
To associate your repository with the applied-linear-algebra topic, visit your repo's landing page and select "manage topics."