🔍 Explore the Revised Simplex Method to solve linear programming problems efficiently, backed by a comprehensive report and experimental analysis.

🔍 Implement flow matching for efficient few-step generation with this minimal Pi-Flow solution, enabling easy reproduction of distillation results.

🛠️ Implement efficient deformable grid sampling operations with bilinear interpolation in PyTorch, enhancing deep learning models for dense vision tasks.

🌐 Implement versatile van der Waals calculations in Perl for accurate molecular simulations and improved material science research.

🚀 Accelerate scientific applications in supercomputing with Python using Numba and Dask for efficient parallel and distributed computing.

A Python desktop application for solving mathematical equations using various numerical methods. This interactive tool provides a modern GUI for inputting equations and visualizing results through interactive plots. Features include solution history tracking, customizable settings, and PDF export capabilities.

High-performance, educational C++ project with modular and extensible architecture for solving physics problems using state-of-the-art numerical methods

🧮 Simplify numerical computations with julia-v0n, a powerful library designed for efficient data analysis and modeling in Julia.

Rust implementations of the algorithms from "Numerical Recipes in C" (2e) - William H. Press, Saul A. Teukolsky, William T. Vetterling, & Brian P. Flannery

A library bridges port-based thinking to numerics.

Density-functional toolkit

RunMat is a fast runtime designed to run math workloads. Run MATLAB/Octave code blazing fast with cross-platform GPU support across Mac, Windows, Linux, NVIDIA / CUDA, ARM and more

High-performance 1D Wave Equation solver implementing Finite Difference Method using Modern Fortran and OpenMP.

A C++ Computational Fluid Dynamics library based on the finite volume method

A small python library that supports differentiation and solving (simple) equations

Investigative Generic Library (IGLib) core library

Comparison of Steepest Descent and Conjugate Gradient iterative solvers for SPD linear systems with experimental analysis and LaTeX paper

Personal Page of Sacha Cardonna

Numerical Analysis Notes

C++ DataFrame for statistical, financial, and ML analysis in modern C++