GPU-ready IMEX and multirate ODE solvers for large-scale scientific models
Hardware Accelerator implementation for solving an ordinary differential equation using Runge Kutta Numerical methods using VHDL language
Scientific Python notebooks implementing interpolation, numerical integration, ODE solvers and stochastic simulation for computational physics.
Open research-code package for exploring CNRS: complex-base representation, CNRS-float, branch-aware complex-state workflows, and CNRS-H scale-law calculus. Part of a broader research programme on scale, representation, and complex-state preservation.
Computational physics notebook implementing numerical ODE solvers in Python, including Euler, modified Euler and Milne-Simpson methods with SciPy comparison.
MATLAB implementations of numerical analysis algorithms for root finding, optimization, linear systems, interpolation, quadrature, and ODE solving.
Reference implementations of sevelar ODE integration methods
Tutorial files that present several methods to solve Ordinary Differential Equations (ODEs) with Matlab and Simulink.
Nuclear detonation atmospheric dispersion modelling in Julia, with React/Leaflet web GUI and PostgreSQL result caching
MATLAB benchmark suite for comparing numerical integrators on classical differential-equation problems, including linear decay, harmonic oscillator, Van der Pol, Lorenz, Robertson kinetics, and Kepler two-body dynamics. The repository includes performance plots, accuracy metrics, conservation analysis, and a simulation video available on YouTube.
A repository for training neural network models using Ordinary Differential Equations (ODEs) as the loss function. The project leverages JAX for efficient computation and Hydra for configuration management.
Numerical ODE solvers implemented from scratch (RK4, RK45, DoPri5), with convergence and error analysis for Scientific Computing.
Template Numerical Library
A minimal physics simulator built from scratch to study numerical stability, symplectic integrators, performance scaling, and reinforcement learning rollout infrastructure.
Hardware Accelerator implementation for solving an ordinary differential equation using Runge Kutta Numerical methods using VHDL language
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