🔍 Compare various direct and iterative methods for solving linear equations in MATLAB to analyze performance and efficiency with practical implementations.

Benchmarks for mixed-precision emulations

Randomized linear algebra-based methods for optimization and scientific computing in PyTorch.

📕 Proof-Based Math Readings is a free, independent online reading group where we study the mathematics required for economics master’s and PhD programs through an intuitive approach. Active since May 2023.

A finite element code using dealii to solve various multiphase flow problems in porous media

Collection of iterative solvers for large, sparse linear systems — includes serial C, OpenMP-parallelized, and NumPy implementations (Jacobi, Gauss–Seidel, SOR, CG, BiCGSTAB, etc.)

Iterative Solvers for Linear Systems (code for capstone project).

A concise library for solving sparse linear systems with direct methods.

Main repository of the PSCToolkit package, it contains pointer to all the various part of the library.

Evaluating several new approaches to improve convergence of Randomized Kaczmarz (RK) for consistent ill-conditioned systems. This project explores the availability of convergence information among pairwise row differences and analyzes sampling techniques that involve clustering and spectral analysis.

My Numerical Linear Algebra notes

A header-only C++ library for sketching in randomized linear algebra

This repository is all the code to go along with my video series 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.

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.

Linear Algebra library in C++

MEPACK: Matrix Equation PACKage

Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation [SC'25]

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm cost propagation and verification.

Implementação de método direto e indireto de um sistema de equação linear.