Comprehensive automatic differentiation in C++
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Updated
May 24, 2024 - C++
Comprehensive automatic differentiation in C++
A small, efficient class for solving convex optimisation problems.
All the competitive programming on hacker rank, code chef, codeforces and leetcode that I'll do.
A performant and flexible genetic algorithm implemented in C++20/23.
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
⚡ Eigen-js is a port of the Eigen C++ linear algebra library
Various methods of numerical integration and problems of Mathematical Optimisation written in C-fashioned C++ and exhibited in model toy projects
A C++ framework to couple optimisation tools and simulation models
Yaml optimiser is a library and set of command-line tools written in C++. The library helps optimise large YAML configurations using aliases (anchors), references, and merge keys (overrides).
Small research project about hashtable optimisation.
The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits
Branch-and-price solver for the Feeder Network Design Problem
3 Dimensional parametric active surface engine developed for Aerodynamic Shape and Topology parametrisation and optimisation.
High-Performance Computing Project - Smoothed-Particle Hydrodynamics (SPH) Simulation
The Floyd programming language
This is a new way to improve pc performance and cleaning it a lot just with some clicks
Ressources usage optimisation, memory and calculation... using Cuthill Mac-Kee algorithm. Afterward, optimised matrix is solved with LDLT factorization.
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