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stiff-odes

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A research repo exploring how adaptive linear approximation behaves near thin stiff layers. It proposes a threshold law for when layers control node placement, introduces a diagnostic fingerprint for subcritical inversion, and backs both with derivations, simulations, plots, and practical Python examples.

  • Updated Apr 6, 2026
  • Python

Numerical resolution and stability analysis of a system of ordinary differential equations (ODEs) with high stiffness coefficient, using homogeneous, non-homogeneous and adaptive meshes. Implements Radau_IIA, Gauss-Legendre, BDF, Crank-Nicolson, Implicit Euler and Pareschi-Russo with LU factorization optimization.

  • Updated Sep 12, 2026
  • MATLAB

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.

  • Updated Jun 23, 2026
  • MATLAB

The numerical method of lines for engineering PDEs: a validated NumPy toolkit (stencils, ghost-point boundaries, flux limiters, spectral derivatives, stiffness analysis, banded-Newton implicit integrators), 36 worked examples with exact solutions, and a 16-notebook course with solutions.

  • Updated Oct 1, 2026
  • Jupyter Notebook

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