Code for generating double pendulum fractals and Lyapunov exponents
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Updated
Jan 26, 2024 - C
Code for generating double pendulum fractals and Lyapunov exponents
Discrete dynamical systems tools for recurrence, stability, chaos, and basins.
Debosmita Sarkar — Independent Researcher, Kolkata, India. A provenance-audited gravitational N-body world simulator validated against NASA JPL DE440, introducing the Fidelity–Limit Theorem: a closed-form predictability horizon for chaotic systems. DOI: 10.5281/zenodo.21329246
AI-powered chaos detection using Simple Harmonic Motion (SHM) & Double Pendulum examples! Compare a Neural Network (NN) with the Lyapunov exponent method to classify chaotic vs. non-chaotic systems. Features Deep Learning, SHAP explainability, F1-score, precision, recall, and stunning visualizations!
Chaos & nonlinear dynamics in the browser — period-doubling, the Lyapunov exponent, and the chaotic tumbling of Saturn's moon Hyperion.
Chaos in Recurrent Neural Networks: reproducible numerical experiments, explicit assumptions and validation.
Interactive kinetic chaos laboratory, vector phase space telemetry, and procedural acoustic resonance workbench.
Escape rate, Lyapunov exponent and the uncertainty exponent of a latent-reasoning model (EqR Sudoku): transient chaos behind fractal settle-time basins
CHRONOS — a novel bounded 3D chaotic attractor (BCWSA) solver for deepwater-riser vortex-induced-vibration (VIV) fatigue, with standards-based (DNV-RP-C203 / ASTM E1049) post-processing, chaos diagnostics, full case-study outputs, and technical report.
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